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fairquery-agent-trust-mcp

fairquery-agent-trust-mcp

Official

List PII/secret detectors and pricing (free)

pii_list_detectors
Read-onlyIdempotent

Lists all PII and secret detectors, marking which run locally for free versus in the paid Actor, so you can pick entityTypes for scanning or redaction.

Instructions

WHAT: Catalog of every PII and secret entity type, which ones run locally for free (pii_scan_text / pii_redact_text) vs only in the paid Actor (NER names/locations, street addresses, URL/PDF documents), redaction styles, and the price of every paid tool in this server. WHEN: Before pii_scan_text / pii_redact_text to pick entityTypes, or to explain coverage and costs to a user. WHEN NOT: To actually scan text (pii_scan_text) or redact it (pii_redact_text). COST: Free; no token. RETURNS: One catalog object; local:true marks the detectors the free tools run (see PARAMETERS). BEHAVIOR: No network calls; local static catalog, instant (<10 ms). No rate limits. PARAMETERS: None: call with an empty object {}; the catalog is always complete and cannot be filtered. Its output feeds other tools' parameters: copy detector "type" values verbatim into entityTypes of pii_scan_text / pii_redact_text (only rows with local:true can match there) or pii_guard_documents (all rows, incl. PERSON / LOCATION / STREET_ADDRESS); redaction_styles keys are the allowed redactionStyle values. EXAMPLE: {} -> {"detectors":[{"type":"AWS_ACCESS_KEY","category":"secret","local":true},...]}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
detectorsYes
paid_pricingYes
redaction_stylesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already cover readOnly/idempotent/openWorld, and the description adds genuinely new behavioral context: no network calls, static local catalog, instant (<10 ms), no rate limits, and free with no token. This exceeds what the annotations 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?

Labeled blocks (WHAT/WHEN/WHEN NOT/COST/RETURNS/BEHAVIOR/PARAMETERS/EXAMPLE) front-load the routing decision, and each line carries distinct information. Length is justified by the cross-tool dependency it documents.

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 zero-param, free, read-only catalog with an output schema, the description covers purpose, routing, cost, latency, and how its output maps into sibling parameters. An agent has everything needed to call it and use the result.

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?

Zero parameters, so the baseline is 4. The description still adds value by stating the call must use an empty object {} and, importantly, how the returned 'type' and 'redaction_styles' keys feed other tools' parameters — but that is output semantics more than input semantics.

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?

Opens with a specific verb+resource: a catalog of every PII/secret entity type, plus which run locally for free vs only in the paid Actor, redaction styles, and pricing. It clearly distinguishes itself from the scan/redact siblings it names.

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?

Explicit WHEN ('before pii_scan_text / pii_redact_text to pick entityTypes') and WHEN NOT ('To actually scan text... or redact it'), naming the alternatives by tool name. Nothing is left to inference.

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