Server Quality Checklist

Tool Scores

• get_thoughtsB
  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. It states the tool retrieves all thoughts, but doesn't disclose behavioral traits such as whether it returns a list or single object, pagination, rate limits, or error conditions. The description is minimal and lacks operational details.

  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, efficient sentence that front-loads the purpose ('Retrieve all thoughts...') and adds context ('to review your reasoning process') without waste. Every word contributes to understanding the tool's function.

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

  Completeness2/5

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

  Given no annotations, no output schema, and a read operation with potential complexity (retrieving 'all thoughts'), the description is incomplete. It doesn't explain return values, format, or any behavioral aspects like ordering or limits, leaving gaps for an AI agent to use the tool effectively.

  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?

  The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate, but it could have mentioned if any implicit parameters (like session context) are involved. Baseline is 4 for zero 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 verb 'retrieve' and resource 'thoughts recorded in the current session' with the purpose 'to review your reasoning process.' It distinguishes from siblings like 'clear_thoughts' (deletion) and 'think' (creation) by focusing on retrieval, though it doesn't explicitly contrast with 'get_thought_stats' (statistics).

  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?

  The description implies usage context ('current session,' 'review reasoning process') but doesn't explicitly state when to use this tool versus alternatives like 'get_thought_stats' for statistics or 'think' for creating thoughts. No exclusions or prerequisites are mentioned.

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

• get_thought_statsB
  3.4/5.0
  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 'statistics' and 'analyze your thinking process', which gives some behavioral context, but lacks details on what statistics are returned (e.g., counts, trends, metrics), whether it's read-only or has side effects, or any limitations (e.g., session scope). For a tool with zero annotation coverage, this is a significant gap in 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 efficiently conveys the tool's purpose and usage context. It is front-loaded with the core action ('Get statistics') and avoids unnecessary words. Every part of the sentence earns its place by adding value.

  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 (0 parameters, no output schema, no annotations), the description is minimally adequate. It states what the tool does and its context, but lacks details on behavioral aspects (e.g., what statistics are returned, any side effects) that would be needed for full understanding. Without annotations or output schema, the description should do more to compensate, but it meets a basic threshold.

  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?

  The tool has 0 parameters, and schema description coverage is 100% (though trivial since there are no parameters). The description does not need to add parameter semantics, and it appropriately does not mention any. With no parameters, the baseline is 4, as there is nothing to compensate for.

  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 statistics') and resource ('thoughts recorded in the current session'), and specifies the purpose ('to analyze your thinking process'). It distinguishes from 'get_thoughts' (likely listing thoughts) and 'think' (likely generating thoughts), though not explicitly. It avoids tautology by providing meaningful context beyond the tool name.

  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?

  The description implies usage context ('recorded in the current session') and purpose ('analyze your thinking process'), suggesting when to use this tool. However, it does not explicitly state when to use it versus alternatives like 'get_thoughts' or 'clear_thoughts', nor does it provide exclusions or prerequisites. The guidance is implied rather than explicit.

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

• clear_thoughtsA
  3.8/5.0
  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. It discloses that the tool clears 'all thoughts' (implying a destructive operation) and specifies scope ('in the current session'), which is useful behavioral context. However, it doesn't mention potential side effects (e.g., irreversible deletion, no confirmation prompt) or response behavior, leaving gaps in 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 two sentences, front-loaded with the core action ('Clear all thoughts...') followed by usage guidance. Every sentence adds value without redundancy, making it appropriately sized and 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?

  Given the tool's complexity (destructive operation with 0 parameters), no annotations, and no output schema, the description is minimally adequate. It explains what the tool does and when to use it but lacks details on behavioral traits (e.g., confirmation, error handling) and output expectations, leaving room for improvement in 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?

  The tool has 0 parameters, and schema description coverage is 100% (though empty). The description doesn't need to explain parameters, so it naturally meets expectations. A baseline of 4 is appropriate as no parameter information is required, and the description focuses on tool behavior instead.

  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 ('Clear all thoughts') and the target resource ('thoughts recorded in the current session'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'get_thoughts' (which retrieves thoughts) or 'think' (which presumably creates thoughts), missing the opportunity for 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 Guidelines4/5

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

  The description provides clear context on when to use this tool ('to start fresh if the thinking process needs to be reset'), which implies a reset scenario. However, it doesn't explicitly state when not to use it or name alternatives (e.g., using 'get_thoughts' to review instead of clear), falling short of full explicit guidance.

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

• thinkA
  4.2/5.0
  Behavior4/5

  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 effectively describes key traits: it's a non-destructive operation ('will not... change anything'), doesn't fetch external data ('not obtain new information'), and has a logging effect ('append the thought to the log'). However, it lacks details on rate limits, authentication needs, or error handling.

  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 concise and front-loaded, with two sentences that efficiently convey purpose and usage guidelines. Every sentence adds value without redundancy, making it easy for an AI agent to parse quickly.

  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 low complexity (1 parameter, no output schema, no annotations), the description is mostly complete. It covers purpose, usage, and behavioral traits adequately. However, it doesn't explain the log's format or how thoughts are stored/retrieved, which might be relevant for sibling tools like 'get_thoughts'.

  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 schema description coverage is 100%, so the parameter 'thought' is well-documented in the schema. The description adds minimal value beyond this, mentioning 'structured reasoning, step-by-step analysis' which aligns with but doesn't significantly expand on the schema's description. Baseline 3 is appropriate given high 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: 'to think about something' and 'append the thought to the log.' It specifies the verb ('think') and resource ('thought log'), but doesn't explicitly differentiate from sibling tools like 'clear_thoughts' or 'get_thoughts' beyond mentioning it 'appends' thoughts.

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

  Usage Guidelines5/5

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

  The description provides explicit guidance on when to use this tool: 'when complex reasoning or cache memory is needed, especially during long chains of tool calls, policy adherence scenarios, or sequential decision making.' It also clarifies when not to use it: 'It will not obtain new information or change anything,' though it doesn't name specific alternatives.

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