Misfit Machine Store

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

With no annotations provided, the description must disclose behavioral context. It mentions the required meta.ucp-agent.profile and the categories of returned data, but does not state whether the operation is read-only, possible errors, or side effects. This is a moderate level of disclosure.

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

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

The description is two sentences long with no redundant fluff. The opening phrase 'UCP Catalog Product detail' is a fragment and adds modest value, but the overall structure is compact and informative.

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

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

The description covers when to use, output categories, and a prerequisite, but lacks information about return format or request object construction. Given no output schema and a complex nested input schema, this leaves some gaps for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds little beyond the schema. It notes that meta.ucp-agent.profile is required, but the schema already enforces that. It does not explain how to populate catalog.id or the meaning of the nested catalog properties, leaving the agent under-informed.

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

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

The description specifies that the tool retrieves detailed product information for a selected Misfit product, listing price, availability, MCP endpoint, and checkout handoff metadata. It lacks an explicit verb phrase like 'Retrieves', but the second sentence clarifies purpose and differentiates it from the sibling search/lookup tools.

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

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

The description explicitly states when to use the tool: 'after selecting a Misfit product' when full product detail is needed. It does not explicitly name alternatives or exclusions, but 'after selecting' implies a distinct phase from searching or initial catalog lookup.

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

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

No annotations exist, so the description carries the full burden. It discloses the required profile field and the type of data returned, but does not explicitly state the operation is read-only or describe error behavior. This is moderate transparency for a lookup tool.

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

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

The description is only two sentences and front-loads the core purpose ('UCP Catalog Lookup') immediately. Every sentence adds value without redundancy.

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

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

The description gives enough to make a basic call (knowing ids and profile), but lacks detail on optional parameters, output structure (no output schema), and error handling. It is complete for the primary use case but leaves gaps for advanced usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It explains 'ids' (product/variant/SKU/handle identifiers) and mentions the requirement for meta.ucp-agent.profile, but ignores optional fields like context, filters, signals, and attribution, leaving them unexplained.

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

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

The description clearly states the tool performs a catalog lookup using known Misfit product identifiers and returns price, availability, and machine endpoints. This specific verb+resource combination distinguishes it from sibling tools like search_catalog, which would handle identifier-less search.

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

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

The description provides an explicit 'Use when' condition, specifying the tool is for when the agent already has identifiers and needs pricing/availability/endpoints. It doesn't explicitly name alternatives but the condition implies search_catalog is for unknown identifiers, giving clear contextual guidance.

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

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

No annotations are provided, so the description carries the full burden. It adds a useful behavioral note: 'Requires meta.ucp-agent.profile for UCP capability negotiation.' However, it does not disclose return format, side effects, or error behavior. For a search tool, it is implicitly read-only, but this is not stated explicitly.

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

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

The description is concise: two sentences with no irrelevant content. The first sentence names the tool and scope, and the second provides usage guidance and a key prerequisite. Every sentence earns its place.

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

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

The tool has a complex nested input schema, no output schema, and no annotations. The description explains when to use the tool but not how to construct queries, what the response looks like, or any pagination/filtering details. This leaves significant gaps for reliable agent invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only hints at one parameter (meta.ucp-agent.profile in the requirement). The catalog object and its many subfields (query, filters, pagination, etc.) are unexplained, leaving the agent to guess their structure and purpose.

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

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

The description clearly states the tool's purpose: 'Use when an agent needs to discover machine-consumable products sold by Misfit Mediahouse.' It names a specific action (discover/search) and resource (catalog). However, it does not explicitly distinguish from sibling tools like get_product or lookup_catalog, so it lacks full sibling differentiation.

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

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

The description provides explicit usage context: 'Use when an agent needs to discover machine-consumable products.' This tells the agent the primary scenario for invoking the tool. It does not mention alternatives or exclusions, but the context is clear.

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