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

No annotations are provided, so the description carries full burden. It discloses all returned data elements (git branch, Jira ticket overview, open PR, next-step hints), which is good transparency. It does not describe side effects or auth needs, but the tool appears read-only.

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?

Description is two sentences: first defines purpose, second lists returns. It is concise with no wasted words, though some structure (e.g., bullet points) could improve readability.

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 output schema, the description adequately explains the return values. The tool has one optional parameter and simple behavior; the description covers what the agent needs to know for correct 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 coverage is 100%, so baseline is 3. The parameter 'repoPath' is described in the schema as 'Local path to the git repo (defaults to cwd)'. The description does not add further meaning beyond what the schema provides.

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?

Description clearly states it is the master entry point for status and before tasks. It lists specific returned items (git branch, Jira ticket, PR, next steps) and distinguishes from sibling tools like git_get_context and jira_get by being a higher-level aggregator.

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?

Explicitly says to use before any review or coding task, and for getting status. This provides clear context. While it doesn't specify when not to use, the sibling tools imply alternatives for more granular needs.

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 provided. Description lists outputs (branch, commits, status, diff, Jira keys) and the effect of includeDiff. However, does not state that the tool is read-only or specify any prerequisites (e.g., must be in a git repo).

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?

Two sentences with no wasted words. First sentence front-loads all context items; second sentence adds optional flag. Efficient and clear.

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?

Covers all key aspects: what is returned, optional diff, and Jira integration. Lacks details on output format and error conditions, but sufficient for a gathering tool without output schema.

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 coverage is 100%. Description adds context for includeDiff ('full uncommitted diff') but does not significantly enhance understanding beyond schema descriptions. Falls to baseline due to 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?

Description clearly states it provides a comprehensive set of git and Jira context items for coding/review tasks, distinguishing it from sibling tools like git_get_diff and get_dev_context.

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?

Explicitly says 'Start here', indicating primary usage for coding/review tasks. Mentions optional includeDiff parameter. Does not explicitly exclude alternatives but context signals and sibling names imply differentiation.

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 must carry behavioral transparency. It mentions paging via charOffset and maxChars, but does not describe the output format (e.g., unified diff), handling of errors, or limits. Adequate but not comprehensive.

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?

Two sentences: first states purpose, second provides usage scenarios. Very concise with no wasted words. Could be slightly more structured, but efficient.

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?

With 5 well-documented parameters, no output schema, and no annotations, the description explains the core functionality and provides paging guidance. It misses details about diff output format but is fairly complete for a simple tool.

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 coverage is 100% with descriptions for each parameter. The description reinforces usage of maxChars and charOffset for large diffs, adding marginal value beyond the schema. Baseline 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 'Get a diff between two git refs or commits' and lists specific use cases like comparing a feature branch to main. It distinguishes itself from siblings like git_get_context and JIRA tools by focusing on git diffs.

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 explicitly says when to use this tool ('when you need to compare a feature branch to main...') and provides guidance for large diffs. It does not include when-not-to-use or alternative tools, but the sibling names provide 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, the description fully covers behavioral aspects: it restricts editing/deleting to own comments and specifies markup format. It lacks some details like rate limits or response format, but for a CRUD tool, it is reasonably transparent.

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 three sentences, each carrying essential information. No filler or redundancy. It is front-loaded with the core purpose and proceeds to key constraints. Exceptionally 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 (4 parameters, no output schema, no annotations), the description covers the main functional aspects: operations, own-comment limitation, and markup. It could include an example or mention return values, but it is adequately complete for an agent to invoke 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?

The input schema already has 100% coverage with descriptions for all parameters. The description adds value by stating the default action and the own-comment restriction, which are not in the schema. It thus enhances understanding 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 explicitly states the action: Add, update, or delete a comment on a Jira issue. It clearly identifies the resource (Jira issue comment) and the specific operations, distinguishing it from sibling tools like jira_get or jira_mutate.

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 specifies that action defaults to 'add', can only edit/delete own comments, and must use Jira wiki markup. This provides clear context for using the tool, though it does not explicitly mention when not to use it or name specific alternatives among siblings.

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 behavioral disclosure burden. It explains the effect of the fullDescription parameter (truncation) and mentions 'recent comments', but does not specify recency limits, pagination for attachments, authentication needs, or error behavior. Adequate but not thorough.

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?

Two sentences, front-loaded with the main purpose, no redundant words. Every sentence provides essential information about what the tool returns and how to use related tools. Highly efficient.

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 output schema, the description lists the key return fields (summary, description, status, etc.), which is sufficient for an agent to understand the output. It also references a sibling tool for next steps. Some details (e.g., comment structure) are omitted, but overall it is complete enough for a read operation with 7 parameters.

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 coverage is 100%, so baseline is 3. The description adds value by explaining the fullDescription truncation behavior and explicitly linking jira_get_attachment to the attachment ID surfaced by this tool, which is not in the schema. This enriches parameter 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 clearly states the tool retrieves full details for one Jira issue, listing specific fields (summary, description, status, assignee, sprint, transitions, comments, attachments). It distinguishes from sibling tools by mentioning jira_get_attachment for attachment contents, and implicitly from jira_search (multiple issues) and jira_mutate (updates).

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 explicit when-to-use and an alternative: 'To view an attachment's contents... call jira_get_attachment'. It does not cover when to use this vs. jira_search for listing issues, but the alternative guidance is clear and valuable.

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?

Without annotations, the description fully discloses behaviors: auto-resizing, re-encoding, video decoding with ffmpeg, text/PDF/audio handling, and fallback to temp file for oversized content. No contradictions.

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 main action, but could benefit from clearer structuring. All sentences contribute useful information 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?

Covers all parameter details, return types, and media-specific behaviors. Missing error handling cases (e.g., invalid attachment ID), but overall complete given the complexity.

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 100% schema coverage, baseline is 3. Description adds value by specifying parameter usage contexts (e.g., 'Video/animated-image only') and providing defaults, ranges, and refinements like 'start/end/frames or mode=scenes'.

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 'Fetch a Jira attachment by ID and return its contents inline', specifying the verb, resource, and outcome. It distinguishes from sibling tools by mentioning use with jira_get to discover IDs.

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 advises to use jira_get first and explains handling of various media types, but lacks explicit when-not-to-use scenarios or detailed alternatives for optional parameters like saveTo vs inline.

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 discloses the markup syntax requirement (Jira wiki vs. markdown), which is a behavioral trait. However, it does not mention error handling, ordering of multiple operations, authentication needs, or whether operations are atomic. The definition is incomplete for a complex 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 two sentences: the first lists all operations concisely, the second provides the critical markup warning. Every sentence adds value without redundancy. It is front-loaded and easy to scan.

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 complexity (10 parameters, nested objects, no output schema), the description provides a high-level overview and the crucial markup constraint. It does not explain return values or operation ordering, but the rich schema compensates partially. Lacks some behavioral context but is fairly complete for an initial 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 high (80%), so baseline is 3. The description adds value by specifying the markup format requirement for description and comment fields, which is not in the schema. It also clarifies the bundling aspect. This goes beyond 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 tool bundles multiple mutation operations (create, update, transition, comment, link, worklog) in one call. It uses specific verbs and identifies the resource (Jira ticket). This distinguishes it from siblings like jira_comment, which is only for comments, and jira_get (read-only).

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 when any combination of the listed mutations is needed. It emphasizes bundling (one call) which guides efficient usage. However, it does not explicitly contrast with siblings like jira_comment for standalone commenting, nor mention when not to use (e.g., read-only 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?

With no annotations, the description carries the full burden. It implies read-only behavior ('Discover') and explains what each resource returns. It discloses defaults (maxResults, includeIssues) but does not explicitly mention auth needs or lack of side effects. Still, the description is reasonably transparent.

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 long but well-structured with bullet points and clear resource groupings. Every sentence adds value. Minor excess whitespace but overall concise for 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?

Given 13 parameters and no output schema, the description is highly complete. It covers all resource types, parameter relevance, and usage flow (e.g., boards then sprints). Users or agents will have a clear mental model of what the tool does and how to use it.

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 coverage is 100%, so baseline is 3. The description adds significant value by explaining which parameters apply to which resources, the order of operations (e.g., use boards first to get boardId), and contextual hints like 'mine=true for your queue'. This exceeds baseline.

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 discovers Jira resources and lists eight specific resource types with distinct purposes. It distinguishes itself from sibling tools like jira_get (single issue) and jira_version (version management).

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 explicit when-to-use guidance for each resource, including prerequisites (e.g., need boardId before sprints/board_overview, use boards to find it) and when to create a version instead of asking the user. It sets defaults and covers common queries like mine=true.

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 provided, so description carries full burden. It discloses action defaults, that 'release' sets released=true and defaults releaseDate to today. However, it does not mention side effects of delete/archive or any destructive behavior beyond the action names.

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 sentences, front-loaded with purpose and actions, no wasted words. Every sentence adds value.

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 5 actions, 10 params, and no output schema, the description covers all actions, required params per action, links to sibling tools for lookup and usage, and provides a post-creation hint. Very 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 coverage is 100%, but description adds significant meaning: clarifies which parameters are required per action (projectKey+name for create, id for others), and explains defaults/forced values (released=true on release, archived=true on archive, releaseDate defaults to today). This goes well 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?

Description clearly states it manages Jira fix versions with five specific actions, and references sibling tools jira_search and jira_mutate for lookup and ticket assignment, distinguishing itself.

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?

Explicitly tells when to use each action: create requires projectKey+name; other actions require id from jira_search. Also notes that after creation, jira_mutate can set the version on tickets. Provides clear context and alternatives.

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?

The description discloses key behaviors: ticket resolution, branch creation, README fetch, summary printing, and optional push/transition. Without annotations, it carries the burden, and it covers most major actions, though omits details like error handling or default behaviors.

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: two sentences that front-load the core action and key conditional guidance. No wasted words.

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?

The description covers the main workflow steps and optional parameters, but could be more detailed about error cases or the exact Jira transitions applied. Given the lack of output schema and annotations, it provides a reasonable overview 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 coverage is 100%, so the baseline is 3. The description adds minor value by explaining the relationship between issueKey and query, but otherwise does not significantly enhance parameter semantics 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 tool's purpose: to start working on a Jira ticket end-to-end, including resolving the ticket, creating a local branch, fetching a README, and printing a summary. It distinguishes from sibling tools by combining multiple actions.

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 clear guidance on when to use the issueKey vs query parameters, but does not explicitly exclude use cases for sibling tools like jira_mutate or git_get_context. However, the tool's workflow-oriented purpose is clear.

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