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InduSpec — Industrial Materials Database

Request a quote

request_quote

Send a price quote request for an approved product to the InduSpec team.

Input Schema

NameRequiredDescriptionDefault
emailYesContact email.
notesNoQuantity, packaging, delivery details.
countryYesBuyer country.
name_companyYesBuyer name and company.
product_slugYesProduct slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false and destructiveHint=false, so safety and repeat-call semantics are covered. The description adds that the request goes to the InduSpec team (an external submission), but says nothing about rate limits, confirmation, whether duplicate requests are merged, or what the caller receives.

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 well-formed sentence with no filler, and the qualifying constraint is placed where the agent will read it. It is efficiently brief rather than padded, though brevity here trades against disclosure.

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

Completeness4/5

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

For a five-parameter submission tool with no output schema, the description covers intent, target resource and recipient, and the schema fully documents inputs. The gaps — the meaning of 'approved', post-submission behavior and confirmation needs — are noticeable but modest given the annotation coverage.

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?

Schema description coverage is 100%, so all five parameters are documented and a baseline of 3 applies. The description's only additional semantic is the 'approved product' constraint tied to product_slug, which is genuinely useful but thin.

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?

States a specific verb and resource ('send a price quote request') plus the recipient, and the phrase 'for an approved product' signals the prerequisite resource, differentiating it from the read-only siblings get_product/search_products. It stops short of explaining what 'approved' means or how a slug qualifies.

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?

Usage is only implied: an agent can infer this is the conversion step after get_product/search_products, and that the product must be approved. There is no explicit when-to-use or when-not guidance, and no prerequisite or sequencing statement naming the 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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