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Search a product catalog for a title, price, pictures, and a page where it can be bought.

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Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
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Repository
ladanyin/agentlane
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0
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Claude
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TDQS

A3.9/5.0

Scored across 2 tools

Disambiguation5/5

The two tools cover clearly separate roles: search_products discovers items, read_product fetches full detail for a single id. read_product's description even explicitly ties it to the id returned by search_products, eliminating boundary confusion.

Naming Consistency4/5

Both names follow a verb_noun convention (search_products, read_product), which is predictable. The singular/plural split is semantically motivated but is a minor deviation from a strict pattern.

Tool Count3/5

Two tools is on the thin side for a catalog server, though it reflects a minimal browse-and-detail design. Nothing is redundant, but the surface offers little beyond the bare minimum.

Completeness4/5

The discover-then-detail lifecycle is fully covered for a read-only catalog, with useful edge-case signaling (empty list vs. catalog_size 0). Minor gaps exist around browsing categories, offers, or pagination controls, which agents would have to work around.

Available Tools

2 tools
read_productRead one catalog productA
Read-onlyIdempotent
Inspect

Read one product by the id from search_products. Returns the longer description, the pictures, the price, and the page where it can be bought.

NameRequiredDescriptionDefault
idYesProduct id from search_products.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, closed-world and non-destructive behavior, so the safety profile is covered. The description adds genuine value beyond that by naming what comes back: the longer description, pictures, price, and purchase page. It omits failure behavior for unknown ids, which keeps it from a 5.

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

Conciseness5/5

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

Two sentences, no filler, and the essential scoping (one product, id from the sibling tool) is front-loaded before the return contents. Every clause carries information.

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?

With no output schema, the description correctly compensates by enumerating the returned fields, which is the main missing piece for a simple getter. Only the error/missing-id behavior is left unspecified, a minor gap for a one-parameter read.

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 coverage is 100% with a single required integer id already documented as coming from search_products. The description restates the same origin rather than adding format or constraint detail, so the schema is doing the heavy lifting — the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ("Read one product by the id") and immediately scopes it to a single record, which cleanly separates it from the sibling search_products that returns many. An agent can pick between the two without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It establishes the workflow condition for use — you call this with an id obtained from search_products — which is exactly the context an agent needs. It does not state explicit exclusions or error conditions (e.g. what to do with an invalid id), so it falls short of a full when/when-not treatment.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_productsSearch the product catalogA
Read-onlyIdempotent
Inspect

Search the product catalog. No API key. Each product has a title, a short and a longer description, pictures, a price, an offer when the list has one, and a url for the page where it can be bought. An empty products list means nothing matched. catalog_size 0 means the catalog is still loading.

NameRequiredDescriptionDefault
limitNoHow many products to return. Default 6.
queryYesProduct words, a brand, or a type. Example: wireless headphones.

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, openWorld and non-destructive, so the description's contribution is the added context: no API key required, the shape of each returned product (title, short/long description, pictures, price, offer, url), and how to interpret empty results and catalog_size 0. That is meaningful behavioral detail beyond the structured fields, though it says nothing about rate limits or result ordering.

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?

The purpose is front-loaded in the first sentence and the rest is compact, high-density information. The field inventory sentence is a little list-like and could be tightened, but nothing is redundant.

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?

With no output schema, the description correctly compensates by describing the returned product fields and the two edge cases (empty products list, catalog_size 0 during loading). It is nearly complete for a two-parameter search tool; the only gap is any hint about result ordering or how catalog_size relates to the returned payload.

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 both parameters are already documented in the schema, including the limit bounds and default and a query example. The description adds no syntax, matching, or ranking semantics beyond that, so baseline 3 applies.

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 ("Search the product catalog"), which is immediately distinguishable from a single-item fetch. It does not name the sibling read_product or contrast itself with it, so the differentiation is implied 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the name and the catalog-search framing, and the "No API key" note removes a common precondition. However, there is no explicit when-to-use versus read_product guidance, no statement about query scope or result limits, and no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updates
    • First observedread_product
    • First observedsearch_products

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