get_capability
Liefert einen einzelnen Eintrag aus capabilities.json anhand seiner id.
id: capability-id, z.B. "seo" oder "webentwicklung".
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Liefert einen einzelnen Eintrag aus capabilities.json anhand seiner id.
id: capability-id, z.B. "seo" oder "webentwicklung".
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It reveals the data source (capabilities.json) and that exactly one entry is returned, but says nothing about read-only semantics, behavior for an unknown id (error vs empty), or what fields the returned entry contains.
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?
Very short and front-loaded: the purpose sentence comes first, followed by the parameter hint. The second line slightly restates the parameter name but earns its place by giving example values.
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 lookup with no output schema, the essentials are present, but the missing behavior for invalid ids and the unknown domain of valid id values leave real gaps for correct invocation.
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 0%, so the description must compensate. It supplies two concrete example ids ('seo', 'webentwicklung'), which meaningfully clarifies the expected value format, but it does not indicate the full set of valid ids or whether the lookup is case-sensitive.
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 (delivers/returns) and resource (a single entry from capabilities.json keyed by id). It is clearly a single-item lookup, distinguishable in kind from list/search siblings, though it does not explicitly name any sibling alternative.
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?
No guidance on when to use this tool versus siblings like get_company_profile, get_pricing, or recommend_services. The agent must infer that it is a raw lookup of one capability by id, with no stated exclusions or prerequisites.
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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