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profullstack-mcp

Search Fleet Services

fleet_search_services
Read-onlyIdempotent

Search the Profullstack fleet by what you need, e.g. "podcast directory" or "webhooks".

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": "fleet_search_services"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
queryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds only the matching-by-need framing and sample query strings, which hint at free-text keyword matching, but says nothing about how results are ranked, how many are returned, or how limit interacts with matching.

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?

A single front-loaded sentence with the verb first and examples trailing; nothing is wasted. It is however very short for a tool with an undocumented limit parameter, so brevity comes partly at the cost of coverage.

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?

There is no output schema, so the description is the only place an agent could learn what a search returns (service records? names? IDs usable with fleet_get_service?). It also omits the meaning of limit and any empty-result behavior, leaving real gaps for a lookup tool that presumably feeds downstream calls.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry both parameters. It partly compensates for query by showing two example values that reveal the expected granularity (service category/name), but limit (1-62) is never mentioned, so half the surface remains undocumented in both places.

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?

The description gives a specific verb ("Search") plus a specific resource ("the Profullstack fleet"), and the two example queries ("podcast directory", "webhooks") make concrete what the fleet contains. It never names or contrasts with fleet_list_services or fleet_get_service, so sibling differentiation is left to inference rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Search ... by what you need" implies keyword-style lookup rather than enumeration, which is mild usage context. There is no statement of when to prefer this over fleet_list_services, no exclusion of cases where listing is better, and no guidance on how to phrase a query beyond the two examples.

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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