Server Quality Checklist

Tool Scores

• comment_on_prC
  2.9/5.0
  Behavior2/5

  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 states the tool adds a comment (implying a mutation/write operation) but doesn't disclose behavioral traits like required permissions, whether the comment is editable/deletable, rate limits, or error conditions. The mention of a JSON return is minimal and doesn't detail the response structure.

  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?

  The description is appropriately sized and front-loaded, with the purpose stated first. The Args and Returns sections add structure, though they could be more integrated. There's minimal waste, but it could be slightly more polished (e.g., combining sentences).

  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?

  Given 4 parameters with 0% schema coverage, no annotations, and an output schema (implied by 'Returns: JSON string'), the description is moderately complete. It covers the basic action and parameters but lacks details on behavior, error handling, and output specifics. The output schema reduces the need to explain return values, but more context on usage and constraints is needed for a mutation tool.

  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 0%, so the schema provides no parameter descriptions. The description adds basic semantics by listing parameters (project, pr_id, comment, namespace) and noting a default for namespace, but it doesn't explain what these mean (e.g., format of project name, what namespace represents). This partially compensates but leaves gaps, aligning with the baseline when schema coverage is low.

  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?

  The description clearly states the tool's purpose: 'Add a comment to a pull request.' It specifies the verb ('Add') and resource ('pull request'), making the action clear. However, it doesn't differentiate from sibling tools like 'close_pull_request' or 'merge_pull_request' beyond the obvious difference in action type.

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

  Usage Guidelines2/5

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

  The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing pull request), exclusions, or comparisons to sibling tools like 'get_pull_request' for viewing comments. Usage is implied but not explicitly stated.

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

• fork_projectC
  2.9/5.0
  Behavior2/5

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

  With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action is 'Fork', implying a write operation that creates a copy, but lacks details on permissions required, rate limits, whether it's idempotent, or what happens on failure. This leaves 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.

  Conciseness4/5

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

  The description is front-loaded with the core purpose in the first sentence, followed by structured Args and Returns sections. It avoids unnecessary words, but the Args/Returns formatting could be more integrated into natural language for better flow.

  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?

  Given a mutation tool with no annotations, 2 parameters (0% schema coverage), and an output schema exists, the description is minimally adequate. It covers the basic action and parameters but lacks behavioral context like error handling or permissions, which is important for a tool that modifies data.

  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 0%, so the description must compensate. It lists 'project' and 'namespace' with brief explanations ('Project name to fork', 'Project namespace') and a default for namespace, adding basic meaning. However, it doesn't clarify format (e.g., naming conventions) or constraints, leaving parameters partially documented.

  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?

  The description clearly states the action ('Fork') and resource ('Pagure project') with the destination 'to your namespace', making the purpose evident. However, it doesn't explicitly differentiate this tool from sibling tools like 'list_projects' or 'get_project_info', which are read-only operations, 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.

  Usage Guidelines2/5

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

  The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing permissions or an existing project), compare to siblings like 'merge_pull_request' for related workflows, or specify scenarios where forking 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.

• get_pull_requestC
  2.9/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns 'JSON string with PR details including comments,' which hints at read-only behavior and output format, but doesn't cover critical aspects like authentication needs, rate limits, error handling, or whether it's idempotent. For a tool with no annotations, this leaves significant gaps in understanding its operational traits.

  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?

  The description is appropriately sized and front-loaded, starting with the core purpose. The 'Args' and 'Returns' sections add structure without verbosity. However, the 'Returns' section could be more precise (e.g., specifying JSON structure), and some sentences like 'JSON string with PR details including comments' are slightly redundant with the purpose statement, but overall it's efficient with minimal waste.

  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?

  Given the tool's moderate complexity (3 parameters, no annotations, but has an output schema), the description is partially complete. It covers the basic purpose and parameters, and the output schema likely details return values, reducing the need for description there. However, it lacks usage guidelines and full behavioral context, making it adequate but with clear gaps for effective agent use.

  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 0%, so the description must compensate. It lists parameters (project, pr_id, namespace) with brief explanations, adding meaning beyond the bare schema (e.g., 'Pull request ID number' clarifies pr_id as numeric, and default for namespace). However, it doesn't fully detail semantics like format constraints or examples, leaving some ambiguity. With 3 parameters and low schema coverage, this provides moderate but incomplete compensation.

  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?

  The description clearly states the tool's purpose: 'Get detailed information about a specific pull request.' It specifies the verb ('Get') and resource ('pull request'), making the action explicit. However, it doesn't differentiate from sibling tools like 'list_pull_requests' or 'get_project_info' beyond mentioning 'specific' pull request, which is somewhat implied by the required pr_id parameter.

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

  Usage Guidelines2/5

  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 sibling tools like 'list_pull_requests' for listing multiple PRs or 'get_project_info' for broader project details, nor does it specify prerequisites or contexts for usage. The only implied usage is when detailed info on a specific PR is needed, but this is basic and lacks explicit alternatives or exclusions.

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

• merge_pull_requestC
  2.9/5.0
  Behavior2/5

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

  With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool merges pull requests, implying a write operation, but lacks details on permissions needed, whether merges are reversible, rate limits, or error conditions. This is inadequate for a mutation tool with zero annotation coverage.

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

  Conciseness4/5

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

  The description is front-loaded with the core purpose, followed by structured sections for args and returns. It's efficient with minimal waste, though the 'Args' and 'Returns' sections could be integrated more seamlessly into natural language.

  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?

  Given the tool's complexity (a mutation operation), lack of annotations, and 0% schema description coverage, the description is incomplete. It doesn't cover behavioral aspects like permissions or side effects. However, the presence of an output schema reduces the need to explain return values, providing some compensation.

  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 0%, so the description must compensate. It lists parameters (project, pr_id, namespace) and adds a default value for namespace, providing basic semantics. However, it doesn't explain what 'project name' or 'namespace' mean in context, or format requirements, leaving gaps in understanding.

  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?

  The description clearly states the action ('merge') and target ('an approved pull request'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'close_pull_request' or 'comment_on_pr', 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.

  Usage Guidelines2/5

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

  The description mentions 'an approved pull request', which implies a prerequisite condition but doesn't explicitly state when to use this tool versus alternatives like 'close_pull_request' or 'comment_on_pr'. No guidance is provided on exclusions or specific contexts, leaving usage ambiguous.

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

• get_commitB
  3.1/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns 'JSON string with commit details,' which hints at output format, but lacks details on permissions, error handling, rate limits, or whether it's read-only. For a tool with no annotations, this is insufficient to inform safe and effective use.

  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?

  The description is well-structured and appropriately sized, with a clear purpose statement followed by parameter and return sections. It uses minimal sentences that earn their place, avoiding redundancy. A slight deduction for not being maximally front-loaded, as the 'Args' and 'Returns' sections could be integrated more seamlessly.

  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 (3 parameters, 2 required), no annotations, and an output schema present, the description is reasonably complete. It covers the purpose, parameters, and return format, though it could improve by adding behavioral context like error cases or usage examples. The output schema reduces the need to explain return values in detail.

  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?

  The description lists parameters in an 'Args' section with brief explanations, adding meaning beyond the input schema (which has 0% description coverage). It clarifies 'project' as 'Project name,' 'commit_hash' as 'Commit hash (full or short),' and 'namespace' with a default. However, it doesn't fully compensate for the schema gap, as it lacks examples, constraints, or format details for parameters.

  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?

  The description clearly states the tool's purpose: 'Get detailed information about a specific commit.' It specifies the verb ('Get') and resource ('commit'), making the intent unambiguous. However, it doesn't differentiate from sibling tools like 'get_project_info' or 'get_file' beyond the resource type, 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.

  Usage Guidelines2/5

  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 sibling tools like 'get_project_info' or 'get_file', nor does it specify prerequisites or contexts for usage. The only implied usage is for retrieving commit details, but this is basic and lacks explicit alternatives or exclusions.

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

• get_project_infoB
  3.1/5.0
  Behavior2/5

  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 states this is a read operation ('Get'), which is helpful, but lacks details on permissions, rate limits, error handling, or what 'detailed information' includes beyond the return format. For a tool with no annotations, 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.

  Conciseness4/5

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

  The description is well-structured with a clear purpose statement followed by Args and Returns sections. It's front-loaded and efficient, with no wasted sentences, though the formatting as a code block might slightly reduce readability in some contexts.

  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?

  Given the tool's low complexity (2 parameters, no nested objects) and the presence of an output schema (which covers return values), the description is minimally adequate. However, with no annotations and incomplete behavioral details, it doesn't fully prepare the agent for edge cases or integration nuances.

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

  Parameters4/5

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

  With 0% schema description coverage, the description compensates by explaining both parameters: 'project' as the project name with examples, and 'namespace' with its default value. This adds meaningful context beyond the bare schema, though it doesn't cover all possible nuances like format constraints or valid namespaces.

  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?

  The description clearly states the verb 'Get' and resource 'detailed information about a Pagure project', making the purpose specific and understandable. It doesn't explicitly distinguish from siblings like 'list_projects' or 'get_pull_request', but the focus on detailed information for a specific project is clear enough to avoid confusion.

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

  Usage Guidelines2/5

  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 like 'list_projects' (for listing) or 'get_pull_request' (for PR details). The description implies usage for retrieving project details but lacks explicit context, prerequisites, or exclusions, leaving the agent to infer based on tool names alone.

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

• list_branchesB
  3.1/5.0
  Behavior2/5

  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 return format ('JSON string with list of branch names'), which is helpful, but fails to address critical aspects like error handling (e.g., what happens if the project doesn't exist), authentication requirements, rate limits, or pagination. 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.

  Conciseness5/5

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

  The description is well-structured and front-loaded, starting with the core purpose, followed by clear sections for arguments and returns. Every sentence adds value without redundancy, making it efficient and easy to parse for an AI agent.

  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?

  Given the tool's low complexity (2 parameters, no nested objects) and the presence of an output schema, the description is somewhat complete. It covers the basic purpose and parameters but lacks details on error cases, authentication, and usage context. The output schema likely defines the return structure, so the description's mention of a 'JSON string' is adequate but not exhaustive.

  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?

  The description includes an 'Args' section that explains the parameters ('project' and 'namespace'), adding meaning beyond the input schema, which has 0% description coverage. It clarifies that 'namespace' defaults to 'rpms' and that 'project' is required. However, it does not provide examples or constraints (e.g., format of project names), so it only partially compensates for the low schema coverage.

  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?

  The description clearly states the tool's purpose: 'List all branches in a Pagure repository.' It specifies the verb ('List') and resource ('branches in a Pagure repository'), making the action unambiguous. However, it does not explicitly differentiate from sibling tools like 'list_projects' or 'list_pull_requests,' which prevents a score of 5.

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

  Usage Guidelines2/5

  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 lacks context about prerequisites, such as whether the repository must exist or be accessible, and does not mention sibling tools like 'list_projects' for broader repository listings. This absence of usage context limits its effectiveness for an AI agent.

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

• get_fileB
  3.3/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves file content but doesn't mention potential issues like authentication requirements, rate limits, error handling, or whether it's a read-only operation. For a tool with zero annotation coverage, 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.

  Conciseness5/5

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

  The description is well-structured and front-loaded, starting with the core purpose, followed by parameter details and return information. Every sentence earns its place, with no redundant or verbose language, 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.

  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, 2 required) and the presence of an output schema (which covers return values), the description is fairly complete. It explains the purpose and parameters adequately. However, the lack of behavioral details (e.g., error cases, permissions) and usage guidelines slightly reduces completeness, though the output schema mitigates some of this.

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

  Parameters4/5

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

  Schema description coverage is 0%, but the description compensates by explaining all four parameters in the 'Args' section, including defaults for 'branch' and 'namespace'. It adds meaning beyond the bare schema by specifying example values (e.g., 'python3.spec') and clarifying the purpose of each parameter, which is valuable given the low schema coverage.

  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?

  The description clearly states the tool's purpose: 'Get file content from a Pagure repository.' It specifies the verb ('Get'), resource ('file content'), and context ('Pagure repository'), which is clear and specific. However, it doesn't explicitly differentiate from sibling tools like 'get_commit' or 'get_project_info', which prevents a score of 5.

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

  Usage Guidelines2/5

  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 sibling tools or contexts where other tools might be more appropriate, such as using 'get_commit' for commit details or 'get_project_info' for project metadata. This lack of comparative guidance limits its utility for an AI agent.

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

• list_pull_requestsB
  3.3/5.0
  Behavior2/5

  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 pagination and JSON return format, which is helpful, but doesn't cover important aspects like authentication requirements, rate limits, error conditions, or whether this is a read-only operation (though 'list' implies it).

  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 efficiently structured with a clear purpose statement followed by well-organized parameter documentation and return information. Every sentence serves a purpose with no redundant or unnecessary content.

  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 (5 parameters, pagination) and the presence of an output schema (which handles return values), the description provides good coverage. It explains all parameters thoroughly and mentions the JSON return format. The main gap is lack of guidance on when to use this versus sibling tools.

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

  Parameters4/5

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

  Schema description coverage is 0%, so the description must compensate. It provides clear documentation for all 5 parameters including their purposes, defaults, and valid values for 'status'. This adds significant value beyond the bare schema, though it could explain parameter relationships or constraints more fully.

  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?

  The description clearly states the verb ('List') and resource ('pull requests for a Pagure project'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its sibling 'get_pull_request' (singular vs. plural), which could cause confusion about when to use each.

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

  Usage Guidelines2/5

  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 'get_pull_request' (for single PR details) or 'list_projects' (for project listing). It also doesn't mention prerequisites or typical use cases, leaving the agent to infer appropriate contexts.

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

• list_projectsB
  3.4/5.0
  Behavior3/5

  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 pagination behavior (page/per_page defaults) and that it returns JSON with pagination info, which is helpful. However, it doesn't cover important aspects like rate limits, authentication requirements, error conditions, or whether this is a read-only operation (though 'List' implies it).

  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?

  The description is well-structured with clear sections for Args and Returns. Each sentence earns its place by providing essential information. It's appropriately sized for a 4-parameter tool with no annotations. The information is front-loaded with the core purpose first, followed by parameter details.

  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 annotations, but has output schema), the description is reasonably complete. It explains the purpose, documents all parameters, and mentions the return format. The output schema existence means the description doesn't need to detail return values. However, it lacks context about when to use this versus sibling tools.

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

  Parameters4/5

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

  With 0% schema description coverage, the description must compensate for the schema's lack of parameter documentation. It successfully explains all 4 parameters: namespace (with examples), pattern (search functionality), page, and per_page (including defaults). This adds significant value beyond the bare schema, though it could provide more detail about namespace options or pattern matching behavior.

  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?

  The description clearly states the verb ('List') and resource ('Pagure projects/packages'), making the purpose immediately understandable. It distinguishes itself from siblings like get_project_info by focusing on listing rather than retrieving detailed information about a single project. However, it doesn't explicitly contrast with other list tools like list_branches or list_pull_requests.

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

  Usage Guidelines2/5

  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 when to choose list_projects over get_project_info for single-project details, or how it differs from list_branches or list_pull_requests. There's no context about prerequisites, typical use cases, or limitations.

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

• close_pull_requestA
  4/5.0
  Behavior2/5

  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 mentions the action ('Close a pull request') but lacks details on behavioral traits such as required permissions, whether the action is reversible, potential side effects, or rate limits. This is a significant gap for a mutation 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.

  Conciseness5/5

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

  The description is front-loaded with the core purpose, followed by structured sections for args and returns. Every sentence earns its place, with no wasted words, 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.

  Completeness4/5

  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, the description covers the purpose, parameters, and return type. However, it lacks details on behavioral aspects like permissions or side effects. The presence of an output schema reduces the need to explain return values, but more context on the tool's impact would improve completeness.

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

  Parameters4/5

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

  Schema description coverage is 0%, so the description must compensate. It lists all three parameters (project, pr_id, namespace) with brief explanations, adding meaning beyond the bare schema. However, it does not provide detailed semantics like format examples or constraints, so it doesn't fully bridge the coverage gap.

  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 specific action ('Close a pull request') and distinguishes it from alternatives ('without merging'), which differentiates it from the sibling tool 'merge_pull_request'. It directly addresses what the tool does in a precise manner.

  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 by specifying 'without merging', which suggests when to use this tool versus 'merge_pull_request'. However, it does not explicitly state when not to use it or mention other alternatives like 'comment_on_pr' for non-closure actions, leaving some guidance implicit.

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