Server Quality Checklist

Tool Scores

• extract-metadataA
  4/5.0
  Behavior4/5

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

  Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds valuable context: it runs real commands (file, ExifTool), uses a streaming SHA-256 hash, and states results come from actual file bytes without fixtures or mocks, which explains performance and trustworthiness.

  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 detailed but efficient; each sentence contributes specific information about the tool's operations. It front-loads the core purpose and then explains the methods. It is slightly longer than necessary but not verbose.

  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?

  The description thoroughly covers what the tool does but fails to describe the output format or return value, which is critical given there is no output schema. The lack of return-value information leaves a gap in fully understanding the tool's behavior.

  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 covers 100% of parameters with a clear description for filePath, and the tool description provides an example path. Since schema coverage is complete, the description adds little beyond the schema, meeting the baseline of 3.

  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 extracts metadata from forensic evidence files and enumerates specific operations: MIME type detection, extension comparison, ExifTool metadata extraction, and SHA-256 hashing. It explicitly lists the use cases (metadata extraction, MIME-disguise checks, file hashing), making it distinct from sibling tools.

  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 explicitly says 'Use this tool for metadata extraction, MIME-disguise checks, and file hashing,' providing clear when-to-use guidance. However, it does not mention when not to use the tool or alternative tools, though the sibling names suggest contextual boundaries.

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

• analyze-memory-dumpA
  4.5/5.0
  Behavior5/5

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

  Even though annotations already declare readOnlyHint=true and destructiveHint=false, the description adds substantial behavioral context: plugins run sequentially, each independently reports success/failure/unavailability, a single failure does not fail the overall analysis, malfind output requires analyst review, and no results are fabricated. These details go far beyond the annotations and help the agent set expectations correctly.

  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 compact and front-loaded, starting with a precise purpose statement, then listing the plugins and behavioral caveats. Each sentence contributes essential information without redundancy, making it efficient and well-structured for an agent to scan.

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

  Completeness5/5

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

  For a tool with one parameter, no output schema, and moderate complexity, the description is thorough: it covers input type, plugin sequence, failure handling, output interpretation, and domain restriction. The lack of a return structure is mitigated by the detailed explanation of what each plugin reports, making the description sufficient for invocation and result understanding.

  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 covers the only parameter, filePath, with a clear description and example (i.e., /evidence/winmem.raw). The tool description adds no additional parameter-specific meaning, only reference to 'Windows memory dump' in general; given the 100% 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.

  Purpose5/5

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

  The description opens with a specific verb and resource: 'Analyze a Windows memory dump' and enumerates four distinct Volatility plugins, making its function unmistakable. It clearly distinguishes itself from sibling extraction tools (extract-metadata, extract-strings) by focusing on deep forensic analysis rather than simple extraction.

  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 states it is 'designed for Windows memory dumps' and notes the plugins are Windows-specific, providing a clear exclusions for non-Windows files. However, it does not explicitly compare with the sibling tools or state when to choose them instead, leaving the alternative guidance implicit.

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

• extract-stringsA
  4.5/5.0
  Behavior5/5

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

  Adds significant behavioral context beyond annotations: specifies the exact command (GNU strings -n 6), describes pattern scanning, cautions that keyword hits are indicators not proof, and notes bounded results. These details help the agent understand side effects and limitations. No contradiction with readOnlyHint or idempotentHint.

  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?

  Four focused sentences, each adding value: the action, scanning behavior, caveat about indicators, and usage guidance. No fluff, front-loaded with the core purpose.

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

  Completeness5/5

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

  Given the tool's single parameter, full schema coverage, and existing annotations, the description fully covers what the tool does, how it behaves, and when to use it. No output schema is present, but the description implies the output (readable strings) and mentions bounded results.

  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 already provides full coverage for the single filePath parameter (100%). The description does not add additional parameter-level detail beyond what the schema states, so baseline 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?

  The description starts with a specific verb+resource: 'Extract readable strings from a forensic evidence file using the real GNU `strings -n 6` command.' It clearly distinguishes from sibling tools extract-metadata and analyze-memory-dump by focusing on string extraction and indicator scanning.

  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?

  Provides clear usage context: 'Use this tool to find embedded text, URLs, and potential indicators in binary files.' It does not explicitly state when not to use the tool or mention alternatives, but the context is sufficient given the sibling names.

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