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agentstorefront-mcp

agentstorefront-mcp

by lmaniraruta
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

search_services

Search AgentStorefront listings using natural-language queries to find relevant agent services.

Instructions

Semantic search across AgentStorefront listings. Use a natural-language query like 'flight delay prediction' or 'invoice extraction'.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "search_services"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYesNatural-language search query.
max_price_centsNoOptional max per-call price in cents.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits such as whether the tool is read-only, pagination behavior, authorization requirements, or rate limits. The description only covers the basic operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences, no extraneous content, and front-loads key information. However, it could be slightly more structured with separate guidelines.

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?

Given two parameters and no output schema, the description provides basic purpose but lacks details on result format, sorting, pagination, or how to combine with sibling tools. It is insufficient for a search tool needing completeness.

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 100% with descriptions for both parameters. The description adds value for the 'query' parameter by showing example usage, but does not add any additional meaning for 'max_price_cents'. Overall, baseline of 3 is appropriate.

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 that the tool performs semantic search across AgentStorefront listings, using a natural-language query. It provides concrete examples, and the purpose is distinct from sibling tools like list_services (browsing) and get_service (specific service).

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?

The description advises using natural-language queries, but does not explicitly state when to use this tool over siblings or provide exclusion criteria. It implies usage for flexible search but lacks clear when-to-use guidance.

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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