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Search JS Fingerprint By Fuzzy Hash

search_js_fingerprint_by_fuzzy_hash
Read-onlyIdempotent

Find JavaScript files whose fuzzy hash is close to this one, above min_similarity, up to limit results. Fuzzy hashes match files that differ in small parts, such as a kit with a changed configuration.

Input Schema

NameRequiredDescriptionDefault
limitNo
fuzzy_hashYes
min_similarityNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds useful conceptual context about how fuzzy matching behaves (tolerates small differences), but says nothing about result ordering, rate limits, or the hash algorithm family used.

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 compact sentences, front-loaded with the action and the similarity threshold before the explanatory analogy. No filler or redundancy.

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?

An output schema exists, so return values need no explanation, and the tool is a safe read with full annotation coverage. What remains missing for correct invocation is the fuzzy_hash format and, critically, the numeric meaning of min_similarity given 0% schema coverage.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry the parameter burden, yet it only names min_similarity and limit in prose. It never explains the scale or valid range of min_similarity (an integer with no documented units), the expected format/algorithm of fuzzy_hash, or that limit defaults to 20 — the most critical invocation detail is missing.

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?

States a specific verb and resource ('Find JavaScript files whose fuzzy hash is close to this one') and explains the matching semantics, which distinguishes it from exact-hash siblings like search_js_fingerprint_by_md5. However, it does not differentiate itself from the near-identically named siblings search_jsfingerprints_by_fuzzy_hash and find_js_fingerprint_similar_by_hash, so an agent cannot disambiguate those without opening the schemas.

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 gives an implicit use case ('files that differ in small parts, such as a kit with a changed configuration'), which tells the agent when fuzzy matching is appropriate. It never states when NOT to use it (e.g., for exact-match lookups use the md5/sha256 siblings) or names any alternative tool.

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

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