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get_product_details

Read-onlyIdempotent

Use when a user asks for evidence-backed facts, limitations, requirements, applicability, or commercial handoff details for one canonical product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNo
product_idYes
execution_modeNoPublic transports always execute in PRODUCTION_MODE. EVALUATION_MODE is rejected.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
resultsYes
limitationsYes
result_stateYes
contract_versionYes
evidence_summaryYes
request_normalizationYes

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 covered. The description adds only that it targets 'one canonical product' and returns 'evidence-backed' facts; it says nothing about permissions, scope, or result characteristics beyond that.

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 or repetition. It is efficiently sized, though its brevity comes at the cost of substance rather than being tight and complete.

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?

The input schema is complex (nested objects, many enums, a constrained execution_mode) and schema coverage is low, so the description carries a heavy burden it does not meet. The output schema does cover return values, but nothing explains the context object or how to build a valid request.

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 33% across three parameters, and the description explains none of them. The nested 'context' object with its many enums (purpose, borrower_type, offer_context, etc.) is left entirely to the schema, and the description's words 'applicability' and 'requirements' only loosely gesture at those fields.

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 implies retrieving facts about a single canonical product but never states a concrete verb+resource like 'Retrieve details for one product by ID'. It reads as a usage trigger rather than a purpose statement, and it does not differentiate itself from siblings such as check_product_requirements or compare_borrowing_costs.

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?

It does give a 'use when' condition covering evidence-backed facts, limitations, requirements, and applicability, which is more than nothing. However, it names no alternatives and gives no when-not-to-use guidance, which is a real gap given the overlapping check_product_requirements and find_borrowing_products siblings.

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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