search
Search public INMAR services, prices and knowledge. Returns up to five sources; then use fetch for details and conditions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Search public INMAR services, prices and knowledge. Returns up to five sources; then use fetch for details and conditions.
| Name | Required | Description | Default |
|---|---|---|---|
| query | 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, idempotentHint=true, and destructiveHint=false, covering safety. The description adds a behavioral constraint (limit of five results) and a workflow pointer, which are useful beyond the annotations. It does not contradict them.
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 exactly two sentences with no filler. It front-loads the core purpose, then adds the result limit and the next-step pointer. Every word 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?
For a simple one-parameter tool with safety covered by annotations, the description gives enough to act: search, get up to five sources, then fetch for details. The only minor gap is that it doesn't specify what a 'source' looks like (e.g., IDs, URLs), but given the follow-up fetch, this is acceptable.
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 by explaining the 'query' parameter. It does not explicitly mention it; the purpose statement implies that the query is the search term, but no format, examples, or additional guidance are provided. This is a clear gap.
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 states a specific verb ('Search') and resource ('public INMAR services, prices and knowledge'), which is clear and unambiguous. It also differentiates from the sibling 'fetch' by explicitly naming it as the next step, so an agent can distinguish the two tools without opening schemas.
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 workflow guidance: 'Returns up to five sources; then use fetch for details and conditions.' This tells the agent when to use this tool (initial search) and when to switch to the sibling (for details), leaving no ambiguity about the intended sequence.
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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