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env_redact

Redact secrets (API keys, tokens, passwords) from logs / config / env text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
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 behavioral burden. It says what is removed but not what the operation returns (redacted text vs. a report of findings), what the replacement marker is, whether the input is mutated, or whether any secret classes are missed or require configuration.

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?

A single tight sentence with the verb and target front-loaded and zero filler. Nothing in it is redundant or padded.

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?

For a tool with no annotations, no output schema, and an undocumented parameter, the description should clarify input format and result shape. It leaves the agent guessing about what comes back after redaction and how secrets are masked.

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?

The single 'input' parameter has 0% schema description coverage, so the schema explains nothing. The description's phrase 'logs / config / env text' hints that input is raw text content rather than a file path, but it never states the expected format, size limits, or whether structured formats are handled.

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 ('Redact') and resource ('secrets (API keys, tokens, passwords) from logs / config / env text'), so the agent immediately knows what transformation is performed. No sibling tool in the list performs redaction, so it is implicitly distinct, though the description never explicitly contrasts itself with alternatives.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. The agent must infer from the name alone that this is the right tool when handling text that may contain secrets.

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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