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Lab reports

get_lab_results
Read-onlyIdempotent

Third-party lab (COA) reports Deer Supply publishes per product size. Optional product_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds one useful behavioral fact — reports are third-party COAs published at product-size granularity — but says nothing about return format, availability, or coverage gaps. With annotations carrying the behavioral load, a 3 is appropriate.

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?

Extremely short with the resource stated first and no filler, which is good front-loading. But the brevity comes from under-specification rather than efficiency, and the fragmentary grammar makes the intent harder to parse than a single well-formed sentence would.

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?

For a lookup tool with no output schema, the description should at least indicate what a caller gets back (COA documents, links, per-size rows) and how product_id is sourced. Neither is present, so an agent cannot predict the response shape or construct a valid identifier.

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 0% for the single product_id parameter, so the description must compensate and does not: it only restates that product_id is optional, adding no format, source, or example. An agent still does not know whether product_id is a slug, SKU, or internal ID.

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 specific resource — third-party lab (COA) reports published per product size — so an agent can tell what it retrieves. However it is a sentence fragment with no verb, and it does not distinguish itself from sibling tools like get_trust_report or get_product that may also surface product documentation.

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?

'Optional product_id' implies a filter-or-all behavior, which is minimal implicit guidance. There is no explicit when-to-use context, no statement of when to prefer this over get_trust_report or get_product, and no note on whether product_id must come from search_products.

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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