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services_after_the_model

Read-onlyIdempotent

The fifteen services that read the same financial model (funding, valuation, files, analysis, follow-up, opportunities), in five families.

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": "services_after_the_model"
  }
}

Input Schema

NameRequiredDescriptionDefault
langNoar

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
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 safety and repeatability are covered by structured data. The description adds only that the payload is a fixed set of fifteen services grouped into five families, which gives a hint about the shape of the result but not its format, ordering, or whether it is static. No pagination, caching, or response-structure context is provided.

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 compact sentence with the resource front-loaded and the family grouping trailing as a modifier. Nothing is redundant, but the compression comes at the cost of the missing verb, so terseness is bought with ambiguity rather than efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, single-parameter tool with no output schema, the description covers the subject matter well enough to identify what the tool is about. It stops short on the two things an agent must know before calling: what operation occurs and what lang does. An output schema is absent, so some indication of the return shape would have been valuable.

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?

There is one parameter, lang, defaulting to "ar", with 0% schema description coverage, and the description never mentions it. The agent cannot tell from the text whether lang controls the language of service names, descriptions, or error messages, nor what other values are valid. With a non-zero parameter count and zero coverage, the description needed to compensate and does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete resource (fifteen services that read a shared financial model) and enumerates the domains they cover (funding, valuation, files, analysis, follow-up, opportunities) plus a grouping into five families. However, it never states the action the tool performs - list, describe, retrieve - so the agent must guess whether it returns a catalog, a status report, or something else. It also offers no differentiation from siblings such as how_the_numbers_are_made or get_started.

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?

There is no when-to-use guidance at all: no statement of the question this tool answers, no prerequisites, and no named alternative among the siblings. The agent is left to infer that this is an inventory of services rather than a lookup of any single service, which is the one distinction that matters here.

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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