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get_pr_quote

Gets exact package information using service_id.

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": {
      "service_id": "<service_id>"
    },
    "name": "get_pr_quote"
  }
}

Input Schema

NameRequiredDescriptionDefault
service_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. "Gets" weakly implies a read, but there is no statement about permissions, whether the lookup is live vs cached, what happens with an invalid service_id, or what a "quote" contains. For a pricing-adjacent tool, that silence is a real gap.

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

Conciseness3/5

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

It is a single front-loaded sentence with no filler, which is structurally clean. The problem is under-specification rather than verbosity: the one sentence does not carry enough information to justify being the whole definition.

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?

With no annotations, no output schema, and an undocumented parameter, the description needs to explain what "package information" actually contains and how the identifier is obtained. It does neither, leaving an agent able to invoke the tool but unable to predict or validate its result.

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 coverage is 0% and the single parameter is undocumented in the schema, so the description must compensate. It only restates that service_id is the input, without saying where a service_id comes from (presumably list_pr_services) or its format. This adds almost no meaning beyond the parameter name.

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 gives a verb ("Gets") and a resource ("exact package information"), so the basic operation is identifiable. But "package information" is vague and does not align with the tool name's promise of a "quote" (presumably pricing), and nothing distinguishes it from siblings like get_capabilities or list_pr_services. An agent can guess it's a lookup keyed by service, but not exactly what it returns.

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, no prerequisites, and no mention of alternatives among the many sibling tools. The only implied usage is "call this with a service_id," which the schema already makes obvious.

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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