Server Quality Checklist

Tool Scores

• get_changes_between_refsB
  3.4/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the burden. It mentions it uses the GitHub compare API, implying external call behavior, but does not disclose rate limits, pagination, or whether it includes unmerged commits. It also doesn't clarify data volume or potential errors.

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

  Conciseness4/5

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

  Two sentences, concise and front-loaded with the core purpose. The mention of the GitHub compare API adds context without verbosity. Could trim 'enriched with' but overall efficient.

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

  Completeness3/5

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

  For a read-only list tool with 4 well-documented required params and no output schema, the description is adequate but not comprehensive. It doesn't specify return format, pagination, or how commits are ordered, which could be important for large comparisons. Sibling tools exist, but no exclusions are given.

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

  Parameters3/5

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

  Schema coverage is 100%, with each parameter described (base/head as refs, owner/repo). The description adds a bit of context by clarifying base is older and head is newer, which is helpful. But it does not add syntax examples or constraints beyond schema, so baseline 3 is appropriate.

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

  Purpose4/5

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

  Description clearly states it gets all commits between two refs with enriched metadata (PR, author, issues) using the GitHub compare API. It distinguishes from siblings by specifying refs rather than PRs or releases, but could more explicitly contrast with get_pull_requests_in_range.

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

  Usage Guidelines3/5

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

  It mentions using refs (tags/branches/SHAs) which implies use cases like comparing releases or branches. However, it lacks explicit guidance on when to use this over get_pull_requests_in_range or get_release_summary, and no mention of when not to use it.

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

• get_pull_requests_in_rangeA
  4/5.0
  Behavior4/5

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

  With no annotations, the description carries the full burden. It clearly indicates a read-only retrieval ('Get'), defines scope ('merged PRs between two refs'), and discloses output details (labels, linked issues, review counts, files changed) plus categorization by label. Missing explicit notes on pagination, rate limits, or edge cases, but for a non-destructive tool this is solid.

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

  Conciseness5/5

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

  Two sentences, fully front-loaded with the core action. The second sentence adds valuable output details without any filler. No redundant or vague wording.

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

  Completeness4/5

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

  Given 4 required params, no output schema, and no annotations, the description does a good job explaining what the tool returns: merged PR metadata and categorization. It could mention behavior for empty results or invalid refs, but the main functionality and output are well covered.

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

  Parameters3/5

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

  Schema description coverage is 100% (all 4 parameters have descriptions). The description reinforces 'between two refs' but does not add meaning beyond the schema's existing parameter descriptions. Baseline of 3 is appropriate.

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

  Purpose5/5

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

  Description uses a specific verb ('Get') and resource ('all merged pull requests between two refs'), clearly differentiating from siblings like get_changes_between_refs (likely file changes) and get_release_summary (summary). It also specifies the output includes full metadata and label-based categorization.

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

  Usage Guidelines3/5

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

  Usage is implied by the description: it is for retrieving merged PRs between two refs. However, there is no explicit statement about when to use this tool versus alternatives, nor any exclusions or prerequisites. The sibling tools are not mentioned in the description.

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

• get_release_summaryA
  4/5.0
  Behavior3/5

  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 discloses that the tool combines multiple data sources and produces a structured object, which implies a read-only aggregation operation. However, it does not mention potential side effects, rate limits, or the exact structure of the returned object. Since it's a read operation, the lack of explicit safety notes is acceptable, but more detail on the output format would improve transparency.

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

  Conciseness5/5

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

  The description is a single, well-structured sentence that front-loads the purpose and then lists the components. Every word earns its place, with no redundancy or filler. It is concise and immediately informative.

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

  Completeness4/5

  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 fairly complete. It explains what the tool does, what inputs it takes, and the intended use case. However, it could benefit from a brief note on the output structure or any prerequisites (e.g., tags must exist), but the current level is adequate for an agent to select and invoke the tool correctly.

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

  Parameters3/5

  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 four parameters. The description adds context by explaining that from_tag and to_tag define the range, but it does not add syntax or format details beyond what the schema provides. The baseline of 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.

  Purpose5/5

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

  The description clearly states the tool's purpose: 'Generate a structured release context object ready for AI synthesis into release notes.' It specifies the verb (generate), the resource (release context object), and the scope (combines commit data, PR metadata, linked issues, contributor list, and aggregate statistics for the range between two tags). This distinguishes it from siblings like get_changes_between_refs and get_pull_requests_in_range, which focus on narrower aspects.

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

  Usage Guidelines4/5

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

  The description implies usage for release note generation by stating the output is 'ready for AI synthesis into release notes.' It also clarifies the input range ('between two tags'), which guides when to use it. However, it does not explicitly state when not to use it or mention alternatives, though the sibling tools suggest other options for more granular queries.

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