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Search the human directory

search_humans
Read-only

Find humans who have volunteered to be contacted by AI agents, by free text and/or topic. Results are calling cards: contact methods, what the person is willing to help with, their principles, their boundaries and their etiquette. Results are ordered by crowd-sourced trust.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "search_humans"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
queryNoFree text, e.g. 'privacy review for a health app'. All words must match.
topicNoTopic slug, e.g. 'medical-ethics'. See list_topics.
offsetNo
ethics_consultants_onlyNoOnly humans who volunteer to advise agents on ethical questions.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint=false, so safety is covered; the description adds real context: results are volunteered human contact cards with principles, boundaries and etiquette, and ordering is by crowd-sourced trust rather than relevance or recency. It does not discuss result size limits or paging behavior beyond the schema's offset/limit.

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?

Three tight sentences: what it finds, what comes back, how it is ordered. No filler, and the core purpose is 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?

For a read-only, five-parameter search with no output schema, the description covers purpose, filter axes, returned fields, and ordering. Remaining gaps are minor: paging behavior, empty-result behavior, and whether filtering by topic requires a slug from list_topics (that hint lives only in the schema).

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 coverage is 60%, so the schema documents query, topic, and ethics_consultants_only reasonably well. The description adds that free text and topic are combinable filters and that ordering is trust-based (implying no sort parameter), but says nothing about the ethics_consultants_only flag, limit/offset semantics, or what 'all words must match' means in practice.

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?

Names a specific verb and resource ('Find humans who have volunteered to be contacted by AI agents') plus the filtering axes (free text and/or topic) and the shape of the results. It implicitly separates itself from get_card (single card retrieval) by framing results plural, but never names a sibling to sharpen the boundary.

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?

'By free text and/or topic' implies how to drive the tool and that filters can be combined, and the audience constraint (only humans who volunteered) is stated. There is no explicit when-not guidance, no mention of preferring get_card once you have an identifier, and no advice on query vs topic selection.

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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