ai-changelog-writer

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It states that the tool returns a list and a recommendation, which suggests a read-only, non-destructive operation, but it does not explicitly mention side effects, permissions, or edge cases. It adds some output context but lacks depth on 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, well-structured sentence that front-loads the core action ('Detect breaking changes') and concisely covers inputs and outputs. Every clause earns its place, and there is no redundancy or filler.

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 tool is simple (2 optional parameters, no output schema). The description covers what it returns (list and recommendation), which compensates for the lack of an output schema. However, it does not elaborate on edge cases or what constitutes a 'breaking item', but this is not critical given the tool's straightforward scope.

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 describes both parameters with 100% coverage. The description adds valuable semantic context by stating inputs can be used 'and/or', clarifying the relationship between diff and commits—something the schema does not explicitly convey. This goes beyond the schema's field 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's function: 'Detect breaking changes from commit messages and/or a git diff.' It also specifies the output ('list of breaking items and a version-bump recommendation'), distinguishing it from sibling tools like summarize_commits which likely just summarize.

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 when to use the tool (when breaking changes need to be detected) and mentions input sources (commit messages and/or diff), but it does not explicitly exclude alternatives or compare with siblings like generate_changelog or format_release_notes. Context is clear but no when-not guidance is given.

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 only states the intended output ('polished release notes') and does not disclose behavioral traits such as whether commit messages are rewritten, grouped, or summarized, whether the operation is deterministic, or whether any external calls are made.

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, front-loaded sentence that communicates the action, input, and output context without fluff. Every phrase contributes 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?

For a tool with four simple, fully documented parameters and an obvious text output, the description covers the core purpose and target distribution channels. It could be improved by explaining the output format or relationship to sibling changelog tools, but it is not a major gap.

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?

All four parameters are already documented in the input schema (version, commits, date, project), so the description adds little specific parameter meaning. It reinforces that commits are commit messages and that version is the target version, but that is already 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 uses a specific verb ('Format') and resource ('polished release notes for a given version'), with explicit context ('GitHub Releases or a product changelog page'). It is reasonably clear, but it does not explicitly distinguish itself from the sibling tool generate_changelog, which likely overlaps in purpose.

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 a use case (creating user-facing release notes for a version) and names target outputs. However, it gives no guidance on when to choose this over generate_changelog or summarize_commits, and no exclusions or prerequisites.

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 burden of disclosing behavioral traits. It mentions the classification approach (conventional commits + heuristic) but does not state whether the tool is read-only, has side effects, requires authentication, or what happens with invalid input. For a 'generate' tool, this is a notable 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?

Two sentences, front-loaded with the core purpose. Zero redundancy and every word 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?

The tool is simple and the description covers the core function, but without an output schema, it should specify the changelog structure (e.g., sections by type) or how heuristics affect grouping. The description also omits how 'date' and 'version' influence output, leaving an agent to infer.

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 does not add extra meaning to the parameters beyond what the schema already describes, but it does imply that 'commits' should follow conventional commit conventions for best results.

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 uses a specific verb ('Generate') and resource ('Markdown changelog from a list of commit messages'), clearly distinguishing it from siblings like 'summarize_commits' or 'format_release_notes'. The mention of conventional commits and heuristic classification further specifies its scope.

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 clearly indicates when to use the tool: when you have a list of commit messages and need a changelog. It does not explicitly mention when not to use it or alternatives, but the context is unambiguous.

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 disclosing behavior. It mentions the output components but does not explain how the tool processes inputs, whether it makes external calls, or what limitations exist. This is a significant gap for a tool that generates a PR description from commits and diff.

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 sentence that front-loads the action and provides a concise list of included elements. Every word contributes value, and there is no wasted text.

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 core output components but lacks guidance on when to use this tool relative to siblings, lacks behavioral details (e.g., whether it returns markdown, how it handles missing diff), and there is no output schema to fill gaps. It is adequate but not fully complete for an agent selecting the 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 each parameter documented in the schema. The description adds no additional meaning beyond the schema, so the baseline score of 3 is appropriate. The 'diff' optionality is not elaborated in the description, but the schema already explains it.

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 a specific verb+resource: 'Generate a pull request description' and lists the components (summary, change stats, test checklist). This distinguishes it from sibling tools like generate_changelog or summarize_commits, which target different outputs.

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, nor does it mention any exclusions or prerequisites. It simply states what it does, leaving the agent to infer usage from the name and output description.

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 disclosing behavioral traits. It only states what the tool produces and does not mention any side effects, limitations, or expectations about input size or return format. It does not contradict annotations (none exist), but it adds minimal behavioral context.

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

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

The description is a single, concise sentence that front-loads the main action and resource. Every word earns its place; there is no fluff 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?

The tool has no output schema and no annotations, so the description should compensate by explaining what the structured breakdown looks like or how the summary is returned. It does not. The description is too minimal to give an agent a complete picture of what the tool will return or how it handles edge cases.

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

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

The schema provides 100% coverage for the single parameter ("Array of commit messages to summarize"). The description doesn't add additional parameter semantics, but the schema is already clear. With high schema coverage, a baseline 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 uses a specific verb ("Produce") and names the resource ("a set of commits"), and it clarifies the two outputs (natural-language summary and structured breakdown). It is distinct from sibling tools like detect_breaking_changes or generate_changelog, though it could be more explicit about exactly how it differs from format_release_notes.

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 gives no guidance on when to use this tool versus the sibling tools. It does not mention alternatives or exclusion criteria. The agent is left without context about whether to choose summarize_commits over generate_changelog or generate_pr_description.

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