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developer.secret-scan

Read-onlyIdempotent

Detect likely leaked API keys, tokens, private-key headers, JWTs, and credential assignments in caller-supplied source or configuration text. Return type, line, fingerprint, and a fully redacted preview with no network access or code execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured Redacted credential leak scan result
metaYes
serviceYes
versionYes
request_idYesUnique request identifier

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare read-only, non-destructive, idempotent. The description adds 'no network access or code execution' and 'fully redacted preview', which are safety and output-behavior disclosures beyond the annotations, enhancing 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?

Two succinct sentences: first defines the tool's purpose and scope, second outlines return values and safety. No redundant phrasing, perfectly front-loaded.

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?

The tool has an output schema (not shown), so detailed return values are not needed. The description covers the key behavior, safety, and input type. It lacks explicit limitations (e.g., false-positive rates) but remains sufficient for straightforward 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 clarify the single parameter. It states 'caller-supplied source or configuration text', which conveys what to pass, but adds no format examples or edge-case guidance. This is adequate but minimal.

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 detects likely leaked secrets (API keys, tokens, etc.) in caller-supplied text, listing specific secret types and the output details (type, line, fingerprint, redacted preview). This strongly differentiates it from sibling tools like document.redact or data.clean.

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 when scanning source/config text for secrets but does not explicitly mention alternatives or when-not to use. The specific scope ('caller-supplied source or configuration text') provides context, but exclusions are absent.

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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TDQS

A3.8/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (crypto, data, developer, document, research, web) and each tool name describes a specific function; however, a few umbrella tools like web.full-audit and data.contract overlap with their more targeted counterparts, creating minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: a domain prefix, a dot, and a hyphenated lowercase compound name (e.g., crypto.base-block-inspect, web.seo-audit). This makes naming predictable and easy to scan.

Tool Count1/5

At 63 tools, the surface area is very large and exceeds the 50+ threshold for extreme mismatch. While the tools are organized into six domains, the sheer number makes it difficult for an agent to select efficiently, and some tools are bundled combinations of others.

Completeness5/5

Each domain offers a thorough set of operations: crypto covers address, account, block, contract, events, gas, and transaction inspection; data covers cleaning, conversion, schema, and validation; developer covers code review, dependency/license audits, and test generation; research covers SEC, OFAC, GLEIF, and USAspending; web covers extraction, SEO, security, and performance. No obvious dead ends exist for the read-only/inspection purpose.

Resources