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recommend_provider

Read-onlyIdempotent

Recommend a provider with hard-filter outcomes, component scores, evidence, and Safe-Call constraints.

Input Schema

NameRequiredDescriptionDefault
task_requirementsYesStructured capability, operation, auth, payment, data and evidence requirements.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so safety is covered. The description adds useful behavioral signal about output shape (hard filter first, then component scores and evidence) and a 'Safe-Call constraints' concept, but does not explain the filtering/threshold behavior or what a rejection looks like.

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 no filler, stating both the action and the deliverable. It is dense with jargon (hard-filter, Safe-Call) that is not unpacked, which slightly reduces clarity but not length.

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?

With a rich annotation set, a 100%-covered schema, and an output schema that already documents returns, the description covers the essentials of what the tool produces. It falls short on the missing when-to-use routing among five siblings, which is the main contextual gap.

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?

Only one parameter (task_requirements) at 100% schema description coverage, so the schema already documents it as structured capability/operation/auth/payment/data/evidence requirements. The description adds nothing about what fields that object expects or how requirements drive hard filters.

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 (Recommend) and resource (provider), and enumerates what the result contains: hard-filter outcomes, component scores, evidence, and Safe-Call constraints. This distinguishes it reasonably from compare_providers and evaluate_safe_call, though the relationship to siblings is only hinted at 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?

There is no explicit when-to-use statement, no prerequisite, and no named alternative despite five sibling tools that overlap conceptually (compare_providers, evaluate_safe_call). The mention of 'hard-filter' and 'Safe-Call' implies context but leaves the agent to infer selection conditions.

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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