Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action is an 'add' operation, implying a write/mutation, but doesn't cover permissions, rate limits, error handling, or what happens if emojis are invalid. This is a significant gap for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It front-loads the core purpose ('Adds multiple emoji reactions') and is appropriately sized for the tool's complexity, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's mutation nature, 3 parameters with 0% schema coverage, no annotations, and no output schema, the description is inadequate. It lacks details on behavior, parameter usage, and output, failing to provide enough context for safe and effective use by an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'emoji reactions' and 'Discord message', hinting at 'emojis' and 'messageId', but doesn't explain parameter meanings, formats (e.g., emoji syntax), or constraints. This adds minimal value beyond the schema's property names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Adds multiple emoji reactions') and target ('to a Discord message at once'), distinguishing it from the sibling 'discord_add_reaction' by specifying 'multiple' reactions. However, it doesn't explicitly contrast with the sibling tool, which slightly reduces differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'discord_add_reaction' for single reactions or other Discord tools. It lacks context on prerequisites, timing, or exclusions, leaving the agent to infer usage based on the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but doesn't mention whether this requires specific permissions, if there are rate limits, what happens on success/failure, or if it's idempotent. For a mutation tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It's appropriately sized for the tool's complexity and front-loads the core purpose immediately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's mutation nature, lack of annotations, 0% schema coverage, and no output schema, the description is incomplete. It doesn't address permissions, error conditions, return values, or parameter details, leaving critical gaps for an agent to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate by explaining parameters. It doesn't mention any of the three required parameters (channelId, messageId, emoji), their formats, or examples. This leaves the agent guessing about input requirements.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Adds an emoji reaction') and the target ('to a specific Discord message'), which is specific and unambiguous. However, it doesn't explicitly differentiate from its sibling tool 'discord_remove_reaction' or 'discord_add_multiple_reactions', which would be needed for a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'discord_add_multiple_reactions' for multiple emojis or 'discord_remove_reaction' for removal. It also doesn't mention prerequisites such as needing proper permissions or message visibility.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('creates') but doesn't mention permission requirements, rate limits, whether the operation is idempotent, what happens on failure, or the expected output format. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that states the core action without unnecessary words. It's front-loaded with the key information ('Creates a new category') and avoids redundancy. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with 4 parameters, 0% schema coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain parameter meanings, behavioral traits like permissions or side effects, or what to expect upon success/failure. The agent lacks sufficient context to use this tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the schema provides no parameter documentation. The description mentions 'category in a Discord server' which hints at the guildId and name parameters, but doesn't explain what guildId is, what name constraints exist, or the optional position and reason parameters. It adds minimal value beyond what's implied by the tool name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('creates') and resource ('new category in a Discord server'), making the purpose unambiguous. It distinguishes from siblings like discord_delete_category and discord_edit_category by specifying creation rather than deletion or modification. However, it doesn't explicitly differentiate from other creation tools like discord_create_text_channel or discord_create_webhook beyond the resource type.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing admin permissions), when not to use it, or how it compares to similar creation tools like discord_create_text_channel. The agent must infer usage from the tool name and context alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states it 'creates' (implying a write/mutation operation) but doesn't disclose behavioral traits like required permissions, rate limits, whether the post is public/private, or what happens on failure. The mention of 'optional tags' hints at functionality but lacks details on tag constraints or effects. This is inadequate for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and resource, and the optional feature is added concisely. Every word earns its place, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (a mutation with 4 parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects like permissions or error handling, most parameters are unexplained, and there's no info on return values. For a create operation in a collaborative platform like Discord, this leaves significant gaps for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'optional tags' which maps to the 'tags' parameter, adding some meaning. However, it doesn't explain the other three parameters (content, forumChannelId, title), their formats, or constraints (e.g., title length limits, content type). The description provides minimal param info, not fully compensating for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('creates a new post') and resource ('in a Discord forum channel'), with an additional feature ('with optional tags'). It distinguishes from siblings like discord_send (general message) and discord_reply_to_forum (reply vs. new post), though not explicitly named. However, it doesn't specify if this is for text-only posts or includes other media, leaving some ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing forumChannelId from discord_get_forum_channels), exclusions (e.g., not for non-forum channels), or compare to siblings like discord_send for regular channels. The description implies usage for forum posts but lacks explicit context or constraints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only states the basic action. It lacks behavioral details such as required permissions (e.g., 'Manage Channels'), rate limits, whether it's idempotent, or what happens on failure (e.g., error if guildId invalid).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action and includes essential details without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't cover permissions, error handling, return values, or how it differs from sibling tools, leaving significant gaps for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'optional topic', which corresponds to one parameter, but doesn't explain channelName or guildId (e.g., guildId format, channelName constraints). This adds minimal value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Creates a new text channel') and resource ('in a Discord server'), with an optional feature ('with an optional topic'). It distinguishes from siblings like discord_create_category or discord_create_forum_post by specifying 'text channel', but doesn't explicitly contrast them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives (e.g., discord_create_category for categories, discord_create_forum_post for forum channels). The description mentions an optional topic but doesn't explain when to include it or other usage contexts.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a creation operation, implying mutation, but doesn't cover permissions needed, rate limits, whether it's idempotent, or what the response contains (e.g., webhook URL). This is inadequate for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with 4 parameters (2 required), 0% schema coverage, no annotations, and no output schema, the description is incomplete. It doesn't explain parameters, behavioral traits, or return values, leaving significant gaps for the agent to operate effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the schema provides no parameter documentation. The description mentions no parameters at all, failing to explain what 'channelId', 'name', 'avatar', or 'reason' mean or how they're used. This leaves all 4 parameters (2 required) semantically undefined.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Creates') and resource ('a new webhook for a Discord channel'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like discord_edit_webhook or discord_delete_webhook, which would require mentioning it's specifically for creation rather than modification or deletion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing channel access), when not to use it (e.g., for existing webhooks), or refer to sibling tools like discord_edit_webhook for updates, leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. 'Deletes' implies a destructive, irreversible mutation, but the description doesn't specify required permissions, whether deletion is permanent, rate limits, or what happens to nested channels. It mentions a 'reason' parameter but doesn't explain its purpose (e.g., audit logging). This leaves critical behavioral gaps for a destructive operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a simple deletion tool and front-loads the core action. Every word earns its place by specifying the action, resource, and key parameter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive mutation tool with no annotations, no output schema, and 2 undocumented parameters, the description is incomplete. It doesn't address critical context like permissions needed, irreversible consequences, what happens to contained channels, or the purpose of the reason parameter. The agent lacks sufficient information to use this tool safely and correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate but fails to do so. It mentions 'by ID' which hints at the categoryId parameter, but doesn't explain what format the ID should be or where to find it. The reason parameter isn't mentioned at all, leaving its purpose undocumented. For a tool with 2 parameters and zero schema documentation, this is inadequate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('deletes') and resource ('a Discord category by ID'), making the purpose immediately understandable. It distinguishes from sibling tools like discord_delete_channel and discord_delete_message by specifying the category resource type. However, it doesn't explicitly contrast with discord_edit_category or other deletion tools beyond the resource name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like discord_delete_channel or discord_edit_category. There's no mention of prerequisites (e.g., needing admin permissions), consequences (e.g., what happens to channels within the category), or when deletion is appropriate versus editing. The agent must infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but only mentions an 'optional reason' parameter. It fails to disclose critical behavioral traits: this is a destructive operation (permanent deletion), likely requires specific permissions (e.g., admin rights), may have rate limits, and doesn't describe what happens upon success/failure (e.g., confirmation message or error).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core action and includes a useful detail about the optional parameter, making it appropriately concise for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's destructive nature, no annotations, no output schema, and low parameter coverage, the description is incomplete. It lacks essential context: permissions required, irreversible consequences, error handling, and comparison to sibling deletion tools, making it inadequate for safe and effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate but only adds minimal context: it notes 'reason' is optional. It doesn't explain 'channelId' format (e.g., numeric ID) or provide examples, leaving parameters largely undocumented. This meets the baseline for inadequate compensation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Deletes') and resource ('a Discord channel'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'discord_delete_category' or 'discord_delete_message', which perform similar deletion operations on different resources, so it doesn't reach the highest score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing admin permissions), exclusions (e.g., cannot delete default channels), or compare it to siblings like 'discord_delete_category' for context-specific choices.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'optional reason' but fails to describe critical traits: whether deletion is permanent or reversible, permission requirements, rate limits, or what happens to replies/threads. For a destructive operation, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It front-loads the core action and resource, followed by an optional feature, making it easy to parse quickly. Every element earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (destructive operation with 2 parameters), lack of annotations, and no output schema, the description is incomplete. It omits essential context: permission needs, irreversible effects, error conditions, and return values. This leaves the agent under-informed for safe and effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the schema provides no parameter details. The description adds minimal semantics by naming 'threadId' and 'reason' implicitly, but it doesn't explain their formats, constraints, or effects (e.g., what 'reason' is used for). It partially compensates for the coverage gap but not fully, warranting a baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Deletes') and resource ('a forum post or thread'), making the purpose unambiguous. It distinguishes from siblings like discord_delete_message by specifying the resource type, though it could be more explicit about the distinction (e.g., 'forum post' vs. 'message').

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't mention prerequisites (e.g., needing permissions), differences from discord_delete_message (for non-forum messages), or when deletion is appropriate versus editing. This leaves the agent without contextual usage cues.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Deletes') but lacks critical details like required permissions (e.g., bot or user rights), whether deletion is permanent or reversible, rate limits, or error handling. This is a significant gap for a destructive operation with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, direct sentence with no wasted words, front-loading the core action and resource. It's appropriately sized for the tool's complexity, making it easy to scan and understand quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's destructive nature, lack of annotations, 0% schema coverage, and no output schema, the description is incomplete. It doesn't address permissions, consequences, parameter details, or return values, leaving the agent with insufficient context to use the tool safely and effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'a specific message' but doesn't explain what 'channelId', 'messageId', or 'reason' represent, their formats, or how to obtain them. This leaves key parameter semantics unclear, failing to add value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Deletes') and resource ('a specific message from a Discord text channel'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'discord_delete_channel' or 'discord_delete_forum_post', which target different resources, so it misses full sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as when to delete a message versus edit it or use other deletion tools for different resources. There's no mention of prerequisites, permissions, or contextual factors, leaving usage unclear beyond the basic action.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool deletes a webhook, implying a destructive mutation, but does not cover critical aspects like required permissions, whether the deletion is permanent, rate limits, or error handling. This is a significant gap for a destructive operation with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that efficiently conveys the core action without unnecessary words. It is appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (destructive operation with 3 parameters), lack of annotations, 0% schema description coverage, and no output schema, the description is incomplete. It does not address parameter meanings, behavioral traits, or return values, leaving significant gaps for the agent to understand and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning none of the three parameters (webhookId, webhookToken, reason) are documented in the schema. The description does not mention any parameters or their purposes, failing to compensate for the schema's lack of documentation. This leaves the agent with no semantic understanding of the inputs beyond their names and types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Deletes') and target resource ('an existing webhook for a Discord channel'), making the purpose unambiguous. However, it does not explicitly differentiate from sibling tools like discord_delete_channel or discord_delete_message, which also delete Discord resources but different types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., needing a webhook ID), exclusions, or compare it to related tools like discord_edit_webhook or discord_create_webhook, leaving usage context implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It states 'Edits' which implies mutation, but doesn't disclose behavioral traits like required permissions, whether changes are reversible, rate limits, or what happens to unspecified fields. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core action ('Edits an existing Discord category') and includes essential details ('name and position') without unnecessary elaboration. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (mutation with 4 parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects like permissions or side effects, leaves parameters underspecified, and provides no information on return values. For a Discord category editing tool, this is inadequate to ensure correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions parameters 'name and position' but doesn't explain their semantics (e.g., what 'position' means in Discord's context, format constraints for 'name', or what 'reason' is for). With 4 parameters total and only 2 vaguely referenced, it fails to adequately clarify parameter meanings beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Edits') and resource ('an existing Discord category') with specific fields mentioned ('name and position'). It distinguishes from sibling tools like discord_create_category (creation vs. editing) and discord_delete_category (editing vs. deletion). However, it doesn't explicitly differentiate from discord_edit_webhook which edits a different resource type.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing category), when not to use it (e.g., for creating new categories), or refer to sibling tools like discord_create_category for creation or discord_delete_category for deletion. Usage is implied but not explicitly stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal insight. It mentions editing but doesn't specify required permissions, rate limits, whether changes are reversible, or what the response looks like. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that is front-loaded with the core action and resource. There is no wasted verbiage or redundancy, making it highly concise and well-structured for quick comprehension.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (6 parameters, mutation tool), lack of annotations, and no output schema, the description is incomplete. It doesn't cover parameter meanings, behavioral traits, or return values, leaving critical gaps for an AI agent to understand and invoke the tool correctly in context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate but fails to do so. It doesn't explain any of the 6 parameters (e.g., what 'avatar', 'reason', or 'webhookToken' are used for), leaving their semantics undocumented. The description adds no value beyond the bare schema, which is insufficient given the low coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Edits') and resource ('an existing webhook for a Discord channel'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'discord_create_webhook' or 'discord_delete_webhook' beyond the verb, missing specific distinctions about what aspects can be edited versus created or deleted.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing webhook), exclusions, or comparisons to sibling tools like 'discord_create_webhook' for initial setup or 'discord_send_webhook_message' for usage. The description implies usage only by stating the action without context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It states the action is a list operation, implying read-only behavior, but does not disclose any behavioral traits like permissions required, rate limits, pagination, or output format. This leaves significant gaps for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Lists all forum channels') and includes necessary context ('in a specified Discord server (guild)'). There is no wasted wording, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (1 parameter, no output schema, no annotations), the description is minimal but adequate for basic understanding. However, it lacks details on behavioral aspects like permissions or output structure, which are important for effective use, making it incomplete for a tool with no supporting structured data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage and 1 parameter, the description adds essential meaning by clarifying that the 'guildId' parameter specifies the Discord server from which to list forum channels. This compensates for the lack of schema details, though it could further explain the format or sourcing of guildId.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Lists') and resource ('all forum channels in a specified Discord server'), distinguishing it from siblings like discord_get_forum_post (which retrieves a single post) and discord_get_server_info (which provides general server information). It precisely defines scope without ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by specifying 'in a specified Discord server (guild)', which provides context for when to use it (to retrieve forum channels from a server). However, it lacks explicit guidance on when not to use it or alternatives, such as not using it for non-forum channels or suggesting discord_get_server_info for broader server details.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves details and messages, implying a read-only operation, but doesn't disclose critical traits such as authentication requirements, rate limits, error conditions (e.g., invalid threadId), or what 'details' include beyond messages. For a tool with zero annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Retrieves details about a forum post') and adds essential context ('including its messages'). There is zero waste—every word contributes to understanding the tool's function without redundancy or unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (retrieving post details and messages), no annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't explain what 'details' entail, the structure of returned messages, potential errors, or authentication needs. For a read operation with undocumented parameters and outputs, more context is needed to be fully helpful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter (threadId) with 0% description coverage, meaning the schema provides no semantic information. The description adds no parameter details beyond what's implied by the tool name—it doesn't explain what threadId is, its format, or how to obtain it. This fails to compensate for the low schema coverage, leaving the parameter meaning unclear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Retrieves') and resource ('forum post'), including what information is returned ('details... including its messages'). It distinguishes from siblings like discord_read_messages (which reads messages generally) and discord_get_forum_channels (which gets channels, not posts). However, it doesn't explicitly differentiate from all siblings, such as discord_get_server_info, which is less related.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a valid threadId), when-not scenarios (e.g., if you only need basic post info without messages), or direct alternatives among siblings like discord_read_messages for general message reading. Usage is implied by the purpose but lacks explicit context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a retrieval operation, implying read-only behavior, but doesn't cover aspects like authentication requirements, rate limits, error handling, or what 'detailed information' entails beyond channels and member count. This is a significant gap for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Retrieves detailed information about a Discord server') and adds specifics ('including channels and member count'). There is no wasted verbiage, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (retrieving server data), lack of annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't explain return values, error cases, or behavioral constraints, leaving the agent with insufficient context for reliable use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter with 0% description coverage, so the description must compensate. It doesn't explicitly mention the 'guildId' parameter, but it implies the need for a server identifier by referring to 'a Discord server'. This adds some semantic context, though it doesn't specify format or sourcing details, keeping it from a perfect score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Retrieves') and resource ('detailed information about a Discord server'), specifying what data is included ('channels and member count'). However, it doesn't explicitly differentiate from siblings like 'discord_get_forum_channels' or 'discord_get_forum_post', which also retrieve server information but for specific components.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing authentication via 'discord_login'), exclusions, or comparisons to other getter tools in the sibling list, leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action but doesn't describe what 'logging in' entails operationally - whether it establishes a session, what permissions are required, whether it's idempotent, what happens on failure, or what the expected outcome looks like. For an authentication tool with zero annotation coverage, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's appropriately sized for a simple authentication tool and front-loads the core purpose immediately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an authentication tool with no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't explain the authentication mechanism, session management, error conditions, or what successful login enables. Given the complexity of authentication and the lack of structured documentation, more context is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the undocumented 'token' parameter. While it mentions 'using the configured token', it doesn't explain what format the token should be, where to obtain it, whether it's optional or required despite the schema saying required: [], or what happens if no token is provided. The description adds minimal value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Logs in') and resource ('to Discord'), specifying the action and target. It distinguishes from siblings by focusing on authentication rather than content manipulation. However, it doesn't explicitly differentiate from potential alternative login methods.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It mentions 'using the configured token' but doesn't clarify if this is required before other Discord operations, what happens if already logged in, or whether there are other authentication methods available.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions a 'configurable limit' but doesn't specify default behavior, pagination, rate limits, authentication requirements, or error conditions. For a read operation with zero annotation coverage, this is insufficient to inform the agent about how the tool behaves beyond basic functionality.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core functionality ('Retrieves messages') and includes a key feature ('configurable limit'). There is no wasted language or unnecessary elaboration, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is incomplete. It lacks details on return format (e.g., message objects, timestamps), error handling, authentication needs, and how messages are ordered or filtered. Without annotations or output schema, the description should provide more context to guide effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds minimal value beyond the input schema. It implies 'limit' controls the number of messages retrieved, but the schema already defines it with default, min, and max values. With 0% schema description coverage, the description doesn't explain what 'channelId' represents or provide examples, leaving parameters largely undocumented. The baseline is 3 since the schema provides structural details, but the description fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Retrieves') and resource ('messages from a Discord text channel'), making the purpose immediately understandable. It distinguishes itself from siblings like discord_send or discord_delete_message by focusing on reading rather than writing or deleting. However, it doesn't specify whether it retrieves recent messages, all messages, or messages from a specific timeframe, which prevents a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing channel access), compare it to similar tools like discord_get_forum_post for different channel types, or indicate scenarios where it's preferred over other message-fetching methods. This leaves the agent with minimal context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Removes') but lacks details on permissions required, whether it's reversible, rate limits, or error conditions. This is a significant gap for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core action. It wastes no words and is appropriately sized for the tool's complexity, earning its place without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's mutation nature, no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It lacks details on behavioral traits, parameter meanings, and usage context, making it inadequate for safe and effective tool invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'emoji' and implies 'message' context, but doesn't explain the four parameters (channelId, emoji, messageId, userId) or their semantics, leaving them ambiguous without schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Removes') and target ('a specific emoji reaction from a Discord message'), making the purpose immediately understandable. It distinguishes from siblings like 'discord_add_reaction' by specifying removal rather than addition, though it doesn't explicitly mention sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., needing permissions to remove reactions), context for usage, or comparisons with related tools like 'discord_delete_message' for broader message deletion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Adds a reply') but doesn't cover critical aspects like required permissions, rate limits, whether the reply is editable/deletable, or what happens on success/failure. For a mutation tool with zero annotation coverage, this leaves significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with every word earning its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (a mutation operation with 2 parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't address behavioral traits, parameter details, or expected outcomes, making it inadequate for safe and effective use by an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'reply to an existing forum post or thread' which implies 'threadId' and 'message', but doesn't explain parameter meanings, formats (e.g., thread ID structure, message length limits), or constraints beyond what's obvious from the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Adds a reply') and target resource ('to an existing forum post or thread'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from potential alternatives like 'discord_send' or 'discord_create_forum_post' in the sibling list, which might handle similar messaging functions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing thread), exclusions, or compare it to sibling tools like 'discord_send' or 'discord_create_forum_post', leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool sends a message but doesn't mention whether this requires specific permissions, rate limits, error conditions (e.g., invalid channel ID), or what happens on success (e.g., returns message ID). For a mutation tool with zero annotation coverage, this is a significant gap in behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of sending a Discord message (a mutation with potential permissions and formatting requirements), no annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't address key contextual aspects like authentication needs, error handling, or return values, leaving significant gaps for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, so the description must compensate. It implies 'channelId' and 'message' parameters but doesn't explain their semantics (e.g., format of channel ID, message length limits, or content restrictions). The description adds minimal value beyond what the bare schema provides, failing to address the coverage gap adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Sends a message') and target ('to a specified Discord text channel'), providing a specific verb+resource combination. However, it doesn't explicitly distinguish itself from sibling tools like 'discord_send_webhook_message' or 'discord_reply_to_forum_post', which also involve sending messages through different mechanisms.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'discord_send_webhook_message' or 'discord_reply_to_forum_post'. It mentions the target is a 'Discord text channel' but doesn't specify prerequisites (e.g., needing proper permissions or channel access) or exclusions (e.g., not for forum posts or webhooks).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but only states the basic action without disclosing behavioral traits. It doesn't mention whether this is a read/write operation (implied write from 'sends'), error conditions, rate limits, authentication needs beyond parameters, or what happens on success/failure. This is inadequate for a tool with mutation potential.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. Every part earns its place, though it could benefit from additional context given the complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 6 parameters, no annotations, no output schema, and 0% schema coverage, the description is incomplete. It doesn't address parameter meanings, behavioral expectations, or output format, leaving the agent with insufficient context to use the tool effectively beyond basic inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate but adds no parameter information beyond what's implied in the name. It doesn't explain what webhookId/webhookToken are, how content is formatted, or optional parameters like avatarURL/username/threadId. With 6 parameters (3 required) completely undocumented, this is a significant gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('sends a message') and resource ('to a Discord channel using a webhook'), making the purpose immediately understandable. It distinguishes from sibling tools like discord_send (which likely uses different authentication) by specifying the webhook method, though it doesn't explicitly contrast with all alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like discord_send or discord_create_webhook. It doesn't mention prerequisites (e.g., needing a pre-configured webhook) or contextual constraints, leaving the agent to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.