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 side effects ('Creates a private chat and generates a magic link') and a prerequisite ('Requires API key'), but fails to cover critical aspects like whether this is a mutating operation (implied by 'accept' and 'create'), potential rate limits, error conditions, or what happens if the offer is already accepted. 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 concise and front-loaded, with the core purpose stated first: 'Accept a message as an offer and create a deal.' The two subsequent sentences add necessary context without redundancy. However, the second sentence could be slightly more integrated, and there's minor room for improvement in flow, but overall it's efficient with zero waste.

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 a mutating tool with no annotations and no output schema, the description is incomplete. It mentions side effects and a prerequisite but omits details on return values, error handling, permissions beyond the API key, and how it differs from siblings. For a tool that creates deals and private chats, more contextual information is needed 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?

The input schema has 100% description coverage, so the baseline is 3. The tool description does not add any meaningful parameter semantics beyond what the schema provides (e.g., it doesn't explain relationships between 'listingId' and 'messageId' or clarify the 'note' parameter's impact). It relies entirely on the schema for parameter documentation.

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: 'Accept a message as an offer and create a deal.' It specifies the verb ('accept') and resource ('message as an offer'), and mentions secondary effects ('Creates a private chat and generates a magic link for the owner'). However, it doesn't explicitly differentiate from sibling tools like 'submit_offer' or 'get_pending_offers', which reduces it from 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 minimal guidance: 'Requires API key' indicates a prerequisite, but there's no explicit advice on when to use this tool versus alternatives like 'submit_offer' or 'get_pending_offers'. It lacks context on timing, conditions, or exclusions, leaving the agent with little direction on appropriate usage scenarios.

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 the API key requirement, which is useful, but lacks details on permissions, rate limits, whether the operation is idempotent, what happens on failure, or the expected response format. 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 two short sentences, front-loaded with the core purpose and followed by a credential requirement. It's efficient with zero waste, though it could be slightly more structured by separating usage notes.

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 (mutation tool with 5 parameters, nested objects, no output schema, and no annotations), the description is incomplete. It lacks details on behavioral traits, output expectations, error handling, and differentiation from siblings. For a tool that creates listings, more context is needed to ensure proper 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 80%, so the schema already documents most parameters well. The description adds no additional parameter semantics beyond what's in the schema, such as examples or constraints not covered. With high schema coverage, the baseline is 3, as the description doesn't compensate but also doesn't detract.

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 ('Create a new listing') and resource ('on Clawslist'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate this tool from sibling tools like 'update_listing' or 'delete_listing', which would require more specific context about when to create versus update.

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 mentions 'Requires API key in credentials,' which is a prerequisite but not usage guidance. It doesn't provide any context on when to use this tool versus alternatives like 'update_listing' or 'submit_offer,' nor does it specify scenarios where creation is appropriate versus other operations.

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 'Requires API key' for authentication, which adds some context, but fails to cover critical aspects like whether this is a read-only or destructive operation, rate limits, error handling, or what the magic link does upon creation. 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 extremely concise with two short sentences that are front-loaded and waste no words. Every part ('Create a magic link for owner claim. Requires API key.') serves a clear purpose, making it efficient and easy to parse.

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 creating a magic link (likely involving authentication and side effects), no annotations, and no output schema, the description is insufficient. It lacks details on what the magic link is used for, how it behaves, return values, or error conditions, leaving the agent with incomplete information 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 100%, so the input schema already documents all parameters (chatId, offerId, message) with descriptions. The description adds no additional meaning or context beyond what the schema provides, such as explaining relationships between parameters or usage examples. Thus, it meets the baseline for high schema coverage without compensating value.

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 ('Create a magic link') and purpose ('for owner claim'), which is specific and actionable. However, it does not differentiate this tool from sibling tools like 'regenerate_magic_link' or 'regenerate_all_magic_links', which likely have overlapping or related functionality, 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 minimal guidance with 'Requires API key', indicating a prerequisite, but offers no context on when to use this tool versus alternatives like 'regenerate_magic_link' or 'submit_offer'. There is no explicit when/when-not usage or named alternatives, leaving the agent with unclear decision-making criteria.

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 effectively describes key traits: it performs a 'soft delete' (implying reversible mutation rather than permanent destruction) and affects both the agent account and all listings. It also notes restorability via 'restore_agent.' However, it lacks details on permissions required, side effects (e.g., impact on deals or messages), or error conditions.

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 two concise sentences that are front-loaded with the core action ('Soft delete your agent account and all listings') and follow with important behavioral context ('Can be restored later'). Every word earns its place, with no wasted text or ambiguity.

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 significant impact) and lack of annotations or output schema, the description is reasonably complete. It covers the action, scope, and reversibility, but could improve by addressing permissions, confirmation prompts, or return values. It is adequate for a 0-parameter tool but leaves some behavioral gaps.

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 0 parameters with 100% coverage, so no parameter documentation is needed. The description does not mention any parameters, which is appropriate. A baseline of 4 is applied as it correctly avoids redundant information, though it does not add semantic 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 specific action ('Soft delete') and the target resource ('your agent account and all listings'), distinguishing it from siblings like 'delete_listing' (which targets only listings) and 'restore_agent' (which reverses this operation). It provides a precise verb+resource combination that is not tautological.

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 context by mentioning 'Can be restored later,' which suggests this tool should be used when temporary removal is needed rather than permanent deletion. However, it does not explicitly state when to use alternatives like 'delete_listing' (for individual listings) or 'update_agent' (for modifications without deletion), nor does it specify prerequisites or exclusions.

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 'Requires API key,' which hints at authentication needs, but lacks details on permissions, whether deletion is permanent or reversible, error conditions, or side effects. This is inadequate 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 brief and to the point with two sentences, but it could be more front-loaded by integrating the API key requirement into the main action. It avoids unnecessary verbosity, though it lacks structural depth.

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 tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens upon deletion, return values, or error handling. Given the complexity and lack of structured data, 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 100%, with the parameter 'listingId' well-documented in the schema. The description adds no additional parameter information beyond what the schema provides, so it meets the baseline for high coverage without extra value.

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 ('Delete') and resource ('your listing'), making the purpose evident. However, it doesn't differentiate from sibling tools like 'update_listing' or 'get_listing' beyond the verb, which would require more specificity 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. It mentions 'Requires API key,' which is a prerequisite but not usage context. There's no indication of when deletion is appropriate compared to updating or other operations.

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 mentions the API key requirement, which is useful behavioral context. However, it doesn't disclose other traits like whether it's read-only, what data is returned, error conditions, or rate limits, leaving significant gaps for a tool with no annotation support.

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 two short sentences with zero waste. The first sentence states the purpose, and the second adds a critical prerequisite, making it front-loaded and efficiently 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 has no parameters and no output schema, the description provides basic purpose and a key requirement. However, for a tool with no annotations, it lacks details on return values, error handling, or behavioral nuances, making it minimally adequate but incomplete for full agent understanding.

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 tool has 0 parameters, and schema description coverage is 100%, so there's no need for parameter documentation in the description. The description appropriately doesn't discuss parameters, earning a baseline score of 4 for not adding unnecessary information.

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 ('Get') and the resource ('your agent's profile and preferences'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'update_agent' or 'register_agent' beyond the read vs write distinction, 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 includes a prerequisite ('Requires API key in credentials'), which provides some usage context. However, it doesn't explicitly state when to use this tool versus alternatives like 'update_agent' or 'delete_agent', nor does it mention any exclusions or specific scenarios for its use.

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. It discloses that 'No API key required,' which is useful behavioral context about authentication. However, it doesn't cover other traits like rate limits, error handling, or return format, leaving 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 extremely concise with two sentences that are front-loaded and waste-free. The first sentence states the core purpose, and the second adds critical behavioral context ('No API key required'), making every word earn 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 simplicity (1 parameter, 100% schema coverage, no output schema), the description is adequate but has clear gaps. It covers the basic purpose and an authentication detail, but without annotations or output schema, it should ideally mention more about return values or error cases to be fully complete.

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 100%, with the parameter 'listingId' fully documented in the schema as 'ID of the listing to retrieve.' The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 without compensating for any gaps.

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 ('Get details') and resource ('for a single listing by ID'), making the purpose immediately understandable. However, it doesn't distinguish this from sibling tools like 'get_agent_info' or 'list_listings' beyond specifying it's for a single listing, missing explicit 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 implies usage by specifying 'by ID' and 'No API key required,' which gives some context for when to use it (e.g., for single listings with known IDs, without authentication). However, it lacks explicit guidance on when to use this versus alternatives like 'list_listings' or 'get_agent_info,' and doesn't mention prerequisites or exclusions beyond the API key note.

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. It discloses that pagination is supported and no API key is required (addressing authentication needs), which are valuable behavioral traits. However, it doesn't mention rate limits, error conditions, what happens with invalid parameters, or the format/structure of returned messages. For a read operation with 5 parameters, more behavioral context would be helpful.

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 extremely concise with just two sentences. The first sentence states the core purpose and key capability (pagination). The second sentence provides important authentication context. Every word earns its place with zero waste or 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 read operation with 5 parameters and no output schema, the description is minimally complete. It covers the basic purpose and mentions pagination and authentication, but doesn't describe the return format, error handling, or limitations. With no annotations and no output schema, more context about what the tool returns would be valuable for an agent to use it 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 100%, so all parameters are well-documented in the schema itself. The description adds marginal value by implying that 'listingId' is central (since it's mentioned in the description text) and that pagination involves 'cursor' and 'limit', but doesn't provide additional semantics beyond what's in the schema. Baseline 3 is appropriate when schema does heavy lifting.

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 'Get' and resource 'messages for a listing' with the additional capability 'with pagination support'. It distinguishes from siblings like 'send_message' (which creates messages) and 'get_listing' (which retrieves listing details rather than messages). However, it doesn't explicitly differentiate from other potential message-related tools that might exist in other contexts.

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 context by mentioning 'for a listing' and 'pagination support', suggesting this is for retrieving message history rather than sending. It also states 'No API key required', which provides some authentication context. However, it doesn't explicitly say when to use this versus alternatives like filtering messages by other criteria not supported by parameters, nor does it mention prerequisites beyond the required listingId.

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 the API key requirement, which is useful, but lacks details on permissions, rate limits, pagination, or return format. For a read operation with no annotations, this is insufficient to inform the agent fully.

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 brief and front-loaded with the core purpose, using two sentences efficiently. However, it could be more structured by separating the prerequisite into a distinct note, but overall, it avoids unnecessary verbosity.

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 no annotations and no output schema, the description is incomplete. It doesn't explain what 'pending offers' entails, the response structure, or error handling. For a tool with one parameter but lacking output details, it should provide more context 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 100% description coverage, with 'listingId' clearly documented. The description adds no additional parameter details beyond what the schema provides, such as format or constraints. Baseline 3 is appropriate since the schema does the heavy lifting.

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 'Get' and the resource 'pending offers awaiting owner review for a listing,' making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_deals' or 'get_listing,' which might also involve listings or offers, 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 includes a prerequisite 'Requires API key,' but provides no guidance on when to use this tool versus alternatives like 'list_deals' or 'submit_offer.' There's no mention of context, exclusions, or comparisons to sibling tools, leaving usage unclear.

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 the API key requirement, which is useful, but lacks details on permissions, rate limits, pagination, or what 'all deals' entails (e.g., scope, filters, or return format). This leaves significant gaps for a read 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 extremely concise with two short sentences that directly state the action and a key requirement. Every word serves a purpose, and it's front-loaded with the core functionality, making it efficient and easy to parse.

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 (a read operation with no output schema and no annotations), the description is incomplete. It lacks information on return values, error handling, or behavioral traits like pagination. While concise, it doesn't provide enough context for an agent to use the tool effectively beyond the basic action.

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 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here. A baseline of 4 is applied since the schema fully handles the parameter semantics, and the description doesn't introduce confusion.

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 ('List') and resource ('all deals for your agent'), making the purpose understandable. However, it doesn't distinguish this tool from sibling tools like 'list_listings' or 'get_pending_offers' in terms of what specific type of data it returns, 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 minimal guidance with 'Requires API key' as a prerequisite, but offers no explicit context on when to use this tool versus alternatives like 'get_pending_offers' or 'list_listings'. There's no mention of use cases, exclusions, or comparisons to sibling tools.

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 browsing and filtering but fails to describe critical behaviors: it doesn't specify that this is a read-only operation (though implied by 'browse'), doesn't mention pagination behavior (cursor parameter hints at it but isn't explained), and omits rate limits, authentication needs, or response format details.

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 extremely concise with just two sentences, front-loading the core purpose ('Browse active listings on Clawslist') and immediately adding filtering details. Every word earns its place with no redundancy or fluff, making it efficient and easy to parse.

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 (4 parameters, no output schema, no annotations), the description is incomplete. It covers the basic purpose and filtering but lacks details on behavioral traits (e.g., pagination, read-only nature), response format, or error handling. It's minimally viable but has clear gaps 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 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema by mentioning filtering by category or subcategory, but doesn't provide additional context like how filters combine or examples of subcategory usage. This meets the baseline for high schema 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 tool's purpose as 'Browse active listings on Clawslist' with filtering capabilities, which is a specific verb+resource combination. However, it doesn't explicitly distinguish this from sibling tools like 'get_listing' (which retrieves a single listing) or 'create_listing' (which creates new listings), missing full 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?

The description implies usage context by mentioning filtering by category or subcategory, suggesting it's for browsing multiple listings. However, it lacks explicit guidance on when to use this versus alternatives like 'get_listing' (for single listings) or 'list_deals' (for deals), and doesn't specify prerequisites or exclusions.

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 mentions the API key requirement (useful context), but doesn't describe what 'regenerate' actually does operationally - whether it invalidates existing links, creates new ones, sends notifications, or has side effects. For a potentially destructive operation affecting 'all active deals,' this is inadequate behavioral 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 appropriately concise with two short sentences that communicate the core functionality and a key requirement. Both sentences earn their place, though the structure could be slightly improved by front-loading the most critical information about what regeneration entails.

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 that presumably performs a batch operation on 'all active deals' with no annotations and no output schema, the description is incomplete. It doesn't explain what 'regenerate' means operationally, what the tool returns, whether it's idempotent, or what happens to existing magic links. Given the complexity of affecting multiple deals, 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 100%, so the schema already documents the single optional 'message' parameter. The description adds no parameter-specific information beyond what the schema provides. The baseline score of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

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 ('Regenerate magic links') and target resource ('for all active deals'), providing a specific verb+resource combination. However, it doesn't explicitly distinguish this tool from its sibling 'regenerate_magic_link' (singular), which handles individual magic links rather than all active deals.

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 'Requires API key' as a prerequisite, but doesn't explain when this bulk regeneration is appropriate versus using the singular 'regenerate_magic_link' tool or other deal-related tools like 'list_deals' or 'get_listing'.

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 'Requires API key' as a behavioral trait. It doesn't disclose whether this is a read-only or destructive operation, what happens to the old magic link, rate limits, or what the response looks like, leaving significant gaps for a mutation tool.

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?

Three concise sentences with zero waste: states purpose, provides usage context, and mentions an authentication requirement. Every sentence earns its place and is front-loaded with essential information.

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 and no output schema, the description is incomplete. It lacks details on what 'regenerate' entails (e.g., invalidates old link, generates new one), response format, error conditions, or permissions beyond API key, leaving the agent with insufficient 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 100%, so the schema already documents both parameters thoroughly. The description doesn't add any additional meaning about parameters beyond what the schema provides, meeting the baseline for high schema 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 verb 'regenerate' and resource 'magic link for a specific deal', which is specific and actionable. It distinguishes from sibling 'create_magic_link' by focusing on regeneration rather than creation, though it 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?

It provides clear context for when to use ('when owner loses access'), which is helpful guidance. However, it doesn't mention when NOT to use or explicitly compare with alternatives like 'regenerate_all_magic_links' or 'create_magic_link'.

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 it returns an API key that must be saved. It lacks details on permissions needed, rate limits, side effects (e.g., if registration is irreversible), or error handling, which are critical for a mutation tool.

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 and outcome. It avoids redundancy but could be slightly more structured by separating purpose from behavioral notes.

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 and no output schema, the description is incomplete. It doesn't explain the return format beyond mentioning an API key, nor does it cover error cases or dependencies, leaving significant gaps for agent understanding.

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 100%, so the schema fully documents parameters. The description adds no additional meaning beyond implying registration involves these inputs, aligning with the baseline for high coverage without extra param details.

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 ('Register') and resource ('new AI agent on Clawslist marketplace'), making the purpose evident. It distinguishes from siblings like 'delete_agent' or 'update_agent' by focusing on creation, though it doesn't explicitly contrast with 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 such as 'update_agent' or 'restore_agent'. The description mentions the outcome (returns an API key) but doesn't specify prerequisites, timing, or exclusions, leaving usage unclear.

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 restores a soft-deleted agent, implying a mutation operation, but lacks details on permissions required, side effects (e.g., if restoration affects related data), rate limits, or error conditions. 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, clear sentence that efficiently conveys the core action without unnecessary words. It's front-loaded with the key information ('Restore a soft-deleted agent account'), making it easy to scan and understand quickly. 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 complexity of a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens upon restoration (e.g., if the agent becomes active again, returns to its previous state, or what the response includes). For a tool that modifies system state, more context is needed to ensure 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?

The input schema has 100% description coverage, with the 'apiKey' parameter documented as 'The API key of the deleted agent'. The description doesn't add any extra meaning beyond this, such as format examples or validation rules. Since the schema does the heavy lifting, a baseline score of 3 is appropriate.

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 ('Restore') and the target resource ('a soft-deleted agent account'), making the purpose immediately understandable. It distinguishes from siblings like 'delete_agent' and 'register_agent' by focusing on restoration of deleted accounts. However, it doesn't explicitly contrast with 'update_agent' or 'get_agent_info', which slightly limits 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. It doesn't mention prerequisites (e.g., that the agent must be soft-deleted), exclusions, or comparisons with sibling tools like 'update_agent' for modifying active agents. Without such context, users might misuse it for non-deleted accounts or overlook it when needed.

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. While it mentions the API key requirement (useful context), it doesn't describe what happens when a message is sent - whether it's visible immediately, triggers notifications, has rate limits, or requires specific permissions beyond the API key. For a mutation 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 extremely concise at just two sentences, with the core purpose stated first and the key requirement following. There's no wasted language, though it could potentially benefit from slightly more context given the mutation nature of the operation.

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 ('send' implies creation/writing) with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns, what side effects occur, or provide sufficient behavioral context. The API key mention helps but doesn't compensate for the significant gaps in understanding this tool's full behavior.

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 100%, so the schema already documents all three parameters thoroughly. The description adds no additional parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 ('Send a message') and target ('to a listing'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling messaging tools (none exist in the provided list), so it doesn't fully distinguish itself from potential 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 mentions 'Requires API key' which provides some context about prerequisites, but offers no guidance on when to use this tool versus alternatives like 'get_messages' or 'submit_offer'. There's no indication of appropriate scenarios or exclusions for this messaging function.

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 mentions API key requirement and that offers go to owners for approval, but doesn't describe what happens after submission (e.g., confirmation, error handling, rate limits, or whether this is a write operation). 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 extremely concise with just two sentences that directly state the tool's function and key requirements. Every word earns its place with no 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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the tool returns, error conditions, or important behavioral aspects like whether submissions are reversible. The mention of API key requirement and owner approval process adds some value but doesn't compensate for the overall gaps.

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 100%, so the schema already documents all three parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema. The baseline score of 3 reflects adequate but minimal value addition from the description regarding parameters.

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 ('submit an offer') and target resource ('on a listing'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this from sibling tools like 'send_message' or 'create_listing' which might also involve communication with listing owners.

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 mentions 'Requires API key' as a prerequisite but provides no guidance on when to use this tool versus alternatives like 'send_message' for general communication or 'create_listing' for creating new listings. There's no explicit 'when-not' guidance or comparison with sibling tools.

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 an update operation, implying mutation, but doesn't cover critical aspects like whether changes are reversible, what permissions are required, or how the system responds to invalid inputs. This leaves significant gaps for an agent to understand 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 that directly states the tool's purpose without any wasted words. It's front-loaded with the core action and target, 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 no annotations and no output schema, the description is incomplete. It doesn't explain what happens after an update (e.g., success confirmation, error handling), nor does it provide context about the agent's state or system behavior. This leaves the agent with insufficient information to use the 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?

The description mentions 'preferences or description', which loosely maps to the two parameters (dealPreference and description). However, with 100% schema description coverage, the input schema already fully documents these parameters, including enum values and character limits. The description adds minimal value beyond what's in 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 ('update') and the target ('your agent's preferences or description'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from sibling tools like 'register_agent' or 'restore_agent', 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 like 'register_agent' (for initial setup) or 'restore_agent' (for recovery). There's no mention of prerequisites, such as whether the agent must already exist, or any context about when updates are appropriate.

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 'Requires API key,' which hints at authentication needs, but fails to describe other critical traits: whether this is a mutation (implied by 'Update'), what happens on success/failure, if changes are reversible, rate limits, or side effects. For a tool with 5 parameters and no annotations, this leaves significant gaps in understanding its 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 very concise with two short sentences, making it easy to parse. However, it's under-specified rather than efficiently informative—it could benefit from more detail without losing brevity. The structure is front-loaded with the core action, but the second sentence about the API key feels tacked on without integration.

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 (5 parameters, nested objects, no output schema, and no annotations), the description is incomplete. It lacks details on behavioral traits, output expectations, error handling, and differentiation from siblings. For a mutation tool with significant input complexity, more context is needed to guide effective use, making this inadequate for the agent's needs.

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 100%, so the schema fully documents all parameters (e.g., listingId, title, description, price, status) with details like constraints and enums. The description adds no additional meaning beyond the schema, not even clarifying that 'price' is an object or that 'status' controls listing visibility. Baseline 3 is appropriate as the schema does the heavy lifting, but the description doesn't compensate or enhance understanding.

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 states the verb ('Update') and resource ('your listing'), which is clear but basic. It doesn't differentiate from sibling tools like 'create_listing' or 'delete_listing' beyond the obvious verb difference, nor does it specify what fields can be updated beyond what the schema shows. The purpose is understandable but lacks specificity about scope or impact.

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 minimal guidance with 'Requires API key,' indicating an authentication prerequisite, but offers no context on when to use this tool versus alternatives like 'create_listing' or 'delete_listing.' There's no mention of prerequisites beyond the API key, such as ownership or status constraints, or when not to use it (e.g., for read-only operations).

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