Search ERA
searchSearch ERA services, prices and salon information. Returns ids for fetch.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
searchSearch ERA services, prices and salon information. Returns ids for fetch.
| 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 establish readOnly, idempotent, non-destructive, and closed-world behavior. The description adds the searchable domain and that results are IDs for fetch, which helps workflow planning, but it does not cover auth needs, rate limits, or result format beyond IDs.
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?
Two concise sentences, front-loaded with purpose and return behavior. There is no redundant or wasted text.
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 one-parameter read-only search with rich annotations and no output schema, the description supplies the essential purpose and return handoff to fetch. It is adequate, though it could mention query semantics and when to use it over sibling lookup tools.
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?
The single 'query' parameter has 0% schema description coverage. The description indicates the query spans services, prices, and salon info, but gives no syntax, matching behavior, or format guidance.
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 the resources covered: services, prices, and salon information. It also states the follow-on behavior, returning IDs for fetch, which distinguishes it from fetch itself, though not explicitly from list_services or get_salon_info.
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?
Implies use for discovery/search and that results feed into fetch, but does not state when to choose it over list_services or get_salon_info, nor any exclusions. Guidance is only inferred.
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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