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Search MCP Servers

search_servers
Read-only

Search the MCP evidence registry using a natural multi-word task (e.g. 'reliable no-auth drug interaction server with citations'). Tokenizes and expands common synonyms, ranks metadata plus observed tool descriptions, and supports operational-grade/auth/latency/category filters. Use get_trust_receipt or search_trust_evidence for security, data, citation, claim, and response evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
authNoFilter by authentication state (default any)
limitNoMax results (default 10, max 25)
queryYesKeyword or task to search name/title/description for
categoryNoOptional category filter: Dev & Code, Data & Databases, Web & Search, AI & Agents, Finance & Crypto, Communication, Productivity, Security, Commerce, Media & Design, Cloud & Infra, Science & Health, Other
minimum_gradeNoWorst acceptable live grade
max_latency_msNoMaximum measured initialize latency in milliseconds

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
resultsYes
safety_noticeYes
feedback_reminderYes
interpreted_termsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / safety_notice
      Added value: +{
      +  "type": "string"
      +}
    • changedOutput schema / required
      Previous value: -[
      -  "interpreted_terms",
      -  "feedback_reminder",
      -  "results"
      -]New value: +[
      +  "safety_notice",
      +  "interpreted_terms",
      +  "feedback_reminder",
      +  "results"
      +]
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": false,
      +  "properties": {
      +    "feedback_reminder": {
      +      "type": "string"
      +    },
      +    "interpreted_terms": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "message": {
      +      "type": "string"
      +    },
      +    "results": {
      +      "items": {
      +        "additionalProperties": true,
      +        "properties": {
      +          "category": {
      +            "type": "string"
      +          },
      +          "description": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "evidence_page": {
      +            "type": "string"
      +          },
      +          "grade": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "latency_ms": {
      +            "type": [
      +              "number",
      +              "null"
      +            ]
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "protocol_access": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "provisional": {
      +            "type": [
      +              "number",
      +              "boolean",
      +              "null"
      +            ]
      +          },
      +          "referral_link": {
      +            "type": "string"
      +          },
      +          "remote_type": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "remote_url": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "score": {
      +            "type": [
      +              "number",
      +              "null"
      +            ]
      +          },
      +          "title": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "tool_count": {
      +            "type": [
      +              "number",
      +              "null"
      +            ]
      +          }
      +        },
      +        "required": [
      +          "name",
      +          "category",
      +          "evidence_page",
      +          "referral_link"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "interpreted_terms",
      +    "feedback_reminder",
      +    "results"
      +  ],
      +  "type": "object"
      +}
  3. Changed3 schema fields changed
    • addedInput schema / properties / auth
      Added value: +{
      +  "description": "Filter by authentication state (default any)",
      +  "enum": [
      +    "any",
      +    "open",
      +    "required"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / max_latency_ms
      Added value: +{
      +  "description": "Maximum measured initialize latency in milliseconds",
      +  "type": "number"
      +}
    • addedInput schema / properties / minimum_grade
      Added value: +{
      +  "description": "Worst acceptable live grade",
      +  "enum": [
      +    "A",
      +    "B",
      +    "C",
      +    "D",
      +    "F"
      +  ],
      +  "type": "string"
      +}
  4. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful behavioral detail: tokenizing and expanding synonyms, ranking metadata plus observed tool descriptions, and supporting operational-grade/auth/latency/category filters. No contradiction.

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 sentences; first sentence is front-loaded with purpose and example, second sentence gives alternative usage. No wasted words; all content contributes to understanding.

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?

The tool has an output schema and thorough annotations, plus a description covering behavior, filters, ranking logic, and alternative tools. This is complete for an agent to select and invoke correctly.

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 has 100% coverage of all 6 parameters with clear descriptions and enums. The description mentions filter types (auth/latency/category) and query expansion context, but it does not add substantial meaning beyond what the schema already documents.

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?

Specifically states 'Search the MCP evidence registry' with a natural multi-word task, clearly identifying the verb and resource. Differentiates from siblings like search_tools and search_trust_evidence by the registry scope and task-based approach.

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?

Provides explicit direction: 'Use get_trust_receipt or search_trust_evidence for security, data, citation, claim, and response evidence.' This tells the agent when to choose alternatives, complementing the search use case.

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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