get_service_info
About CleanOfficeKC: services, region, why choose us, how to buy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
About CleanOfficeKC: services, region, why choose us, how to buy.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full behavioral burden, and it discloses almost nothing: no statement that this is a read-only, zero-argument static lookup, no indication of whether the content is dynamic or cached, and no hint at return shape. The enumerated topics hint at what content appears but not how it is structured or when it is stale.
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 short sentence with no filler, and the subject is front-loaded. It is terse to the point of being a topic tag rather than a description, which costs it the top score.
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 zero-parameter, no-output-schema info tool the bar is low, and listing the covered topics is roughly the minimum viable content. Still missing is any statement of what the response actually contains and how it differs from the three sibling 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 tool takes zero parameters, so there is nothing to document and the baseline is 4. Nothing in the description misleads about inputs.
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 names the subject (CleanOfficeKC) and enumerates content buckets — services, region, why choose us, how to buy — so the agent can infer this returns marketing/informational content. But it never states an action verb or the resource being fetched; 'About CleanOfficeKC' is a topic label rather than a stated function, and 'region'/'how to buy' overlap with what check_service_area and get_quote_estimate appear to handle.
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 explicit when-to-use guidance, no when-not-to-use, and no reference to the sibling tools. The agent must guess whether general questions about service area or pricing belong here or in check_service_area / get_quote_estimate, which the topic list partially duplicates.
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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