find_relevant_service
Match a selected situation to Valor services. Select broad categories; do not provide personal information.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| needs | No | ||
| audience | No |
Match a selected situation to Valor services. Select broad categories; do not provide personal information.
| Name | Required | Description | Default |
|---|---|---|---|
| needs | No | ||
| audience | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish that this is read-only, idempotent, and non-destructive. The description adds a meaningful privacy guardrail by telling users not to provide personal information, which is not in the annotations. But it does not disclose return behavior or any other operational characteristics, so the extra context is useful but not rich.
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 extremely concise: two short sentences that front-load the core purpose and then add an important privacy constraint. There is no redundancy or filler.
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 optional-parameter tool, the description provides a usable starting point approximating the intended matching behavior. However, with no output schema and no parameter-level explanation, an agent cannot fully predict the return value or know exactly which inputs matter. It is minimally viable but not complete.
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?
With 0% schema description coverage, the description must compensate for the lack of parameter documentation. 'Select broad categories' weakly gestures at the needs/audience inputs, but it does not explain the available enum values, how the two optional parameters relate, or what should be passed in common cases. An agent would only have a vague sense of how to populate the parameters.
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 clear action ('Match a selected situation') and resource ('Valor services'), and it adds a usage constraint ('Select broad categories'). It does not explicitly distinguish this from the sibling get_valor_services, which is the most likely alternative, so it stops short of a 5.
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?
It gives useful invocation guidance: choose broad categories and avoid sharing personal information. However, it never says when to prefer this over get_valor_services or how to decide between related tools, so the usage guidance is mostly implied rather than explicit.
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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