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Read an AI product and its sources

get_agent
Read-onlyIdempotent

Get a catalog product by exact slug, including inputs, outputs, setup steps, limitations, human review requirements, pricing review dates, official sources and any separately recorded case studies.

Input Schema

NameRequiredDescriptionDefault
slugYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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/isolation profile is covered. The description adds genuine scope information by enumerating what the record contains (setup steps, limitations, human review requirements, pricing review dates, official sources, case studies). It says nothing about behavior on an unknown slug, which is the one remaining gap.

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 sentence with the verb and resource front-loaded, followed by the field enumeration. The trailing list is long but each item is a distinct part of the returned record, so it earns its space; nothing is padded or restated.

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 usefully takes on the burden of describing return contents. Combined with annotations that cover the safety profile and default idempotency, an agent has what it needs to invoke it, though error behavior for a missing slug is unaddressed.

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?

There is one parameter with 0% schema description coverage, so the schema only conveys type, length, and pattern. The description contributes the key semantic that the slug must be exact (not a fuzzy match), but adds no format or normalization guidance beyond that.

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 ('Get') and resource ('catalog product') plus the lookup key ('by exact slug'), and the enumeration of returned fields further pins down the resource. It does not name search_agents as the non-exact alternative, so the sibling distinction is only implied by 'exact slug'.

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?

'By exact slug' implies the caller must already know the identifier and that fuzzy/partial lookup belongs elsewhere, which is usable implied guidance. However, it never states when to prefer search_agents or what to do without an exact slug, so no explicit alternative routing is provided.

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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