get_service
Everything about one service: what it covers, what it excludes, the projects behind it, and the questions people ask.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | ||
| slug | Yes | Service slug, e.g. svc-erp-crm-integration. |
Everything about one service: what it covers, what it excludes, the projects behind it, and the questions people ask.
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | ||
| slug | Yes | Service slug, e.g. svc-erp-crm-integration. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered and the description adds nothing behavioral. It does disclose the shape of the returned content (covers/excludes/projects/FAQs), which is useful given there is no output schema, but says nothing about auth, error behavior for unknown slugs, or language handling.
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?
One tight, front-loaded sentence with no filler; the content categories are enumerated efficiently. The phrasing 'the questions people ask' is slightly loose where 'FAQs' would be crisper.
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?
With no output schema, the description does carry the return-value burden and lists the main content sections, which is adequate for a simple two-parameter read. It is incomplete on the undocumented lang parameter and on failure modes for invalid slugs.
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%: slug is documented in the schema, but the 'lang' parameter is undocumented in both schema and description, leaving the agent guessing at accepted language values and default behavior. The description never mentions either parameter, so it fails to compensate for the coverage 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 names the resource ('one service') and enumerates what the response contains (coverage, exclusions, projects, FAQs), so an agent knows this is a detail lookup rather than a list. The 'one service' framing implicitly contrasts with list_services and search_services, but the verb is implied rather than stated and no sibling is named explicitly.
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 when-to-use guidance, no prerequisite (e.g. that a slug must already be known), and no routing to alternatives like search_services or list_services. Usage is only weakly inferable from the phrase 'one service'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.