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Audit for credentials

crbro_audit
Read-onlyIdempotent

Scan memory and session logs for pre-filter credentials (API keys, tokens, passwords), report their locations and types so you can remove them and rotate affected secrets.

Instructions

Read-only scan of every field of every neuron (facts, decisions, patterns, preferences, errors, debts, system map) and of every session log for credentials stored before the filter caught them — API keys, tokens, passwords. Reports where they sit and what kind, never the values. Findings are in the search index too, so recall can return them: remove with crbro_forget (facts for entries, session for a day log), then rotate the credential. Run it after upgrading and whenever a secret may have been pasted into a conversation. crbro_inspect shows content; this only judges it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
messageYes
findingsYes
facts_affectedYes
neurons_affectedYes
session_findingsNo
sessions_affectedNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changedv2.0.0
    • addedOutput schema / properties / session_findings
      Added value: +{
      +  "items": {
      +    "additionalProperties": {},
      +    "properties": {
      +      "date": {
      +        "type": "string"
      +      },
      +      "kinds": {
      +        "items": {
      +          "type": "string"
      +        },
      +        "type": "array"
      +      },
      +      "session_id": {
      +        "type": "string"
      +      }
      +    },
      +    "required": [
      +      "session_id",
      +      "date",
      +      "kinds"
      +    ],
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / sessions_affected
      Added value: +{
      +  "type": "number"
      +}
  2. Addedv1.14.0

TDQS

A4.9/5.0
Behavior5/5

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

Beyond the readOnlyHint and idempotentHint annotations, the description discloses that values are never reported, findings are placed in the search index, and removal requires crbro_forget followed by credential rotation. This adds substantial behavioral context that structured annotations alone do not provide.

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 dense but every sentence earns its place: what is scanned, what is reported, how findings surface, when to run it, and how to remediate. It is front-loaded with the core function and avoids vague filler.

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 no-parameter audit tool with an output schema, the description sufficiently covers scope, output behavior, security implications, timing, and remediation. An agent has everything needed to select and invoke it correctly.

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 zero parameters and the input schema is fully covered by that fact, so there is little for the description to add. The 0-parameter baseline of 4 is appropriate and no clarification is needed.

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's specific verb and resource: a read-only scan of every neuron field and session log for stored credentials. It also differentiates itself from crbro_inspect by explicitly noting that crbro_inspect shows content while this tool only judges it.

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 gives explicit when-to-use guidance: run after upgrading and whenever a secret may have been pasted. It also names the relevant alternative (crbro_inspect) and the follow-up remediation tool (crbro_forget), making the decision boundary clear.

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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