Search devices
search_devicesSearch the TAAFT catalog for AI devices by name.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | AI device name to search for. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| devices | Yes |
search_devicesSearch the TAAFT catalog for AI devices by name.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | AI device name to search for. |
| Name | Required | Description | Default |
|---|---|---|---|
| devices | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so safety is covered. The description adds nothing further: no note on default result count, pagination, or what an empty/no-match response looks like, so it contributes no behavioral context beyond the structured fields.
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?
A single tight sentence with the verb and scope front-loaded; nothing is wasted. It is arguably under-specified rather than over-long, but the structure itself is clean.
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?
An output schema exists so return values need not be explained, but for a search tool with a limit parameter left undocumented and no usage guidance, the description is too thin to let an agent call it correctly on first try.
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 coverage is only 50% — query is documented in the schema, but limit (default 20, max 50) is described nowhere. The phrase 'by name' loosely confirms the query semantics but the description does not compensate for the undocumented limit parameter.
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?
States a specific verb (search) and resource (AI devices) plus the scope 'by name' and the catalog it searches. It is clearly distinguishable from search_tools or search_models, though it offers no explicit contrast with the sibling get_device.
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?
There is no guidance on when to search versus when to fetch a known device via get_device, and no mention of result limits or how to narrow broad queries. The sentence describes the action but not the conditions that select it.
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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