search_components
Searches components by a keyword in the name or the category and returns the matches.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search term. |
Searches components by a keyword in the name or the category and returns the matches.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search term. |
Changes observed during successful MCP inspections.
Input schema / properties / query / descriptionPrevious value: -"Suchbegriff."New value: +"Search term."Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, and it discloses only that matching is against name or category. Nothing is said about result limits, ordering, case sensitivity, or what an empty result set means — meaningful gaps for a search tool.
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 front-loaded sentence covering verb, resource, and match fields, with zero filler. Slightly more (result-count or ordering behavior) could have been added without bloat, but nothing present is wasted.
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 tool with no output schema and no annotations, the description is minimally viable but leaves the agent guessing about result behavior and how it relates to the many search_/list_/get_ siblings.
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 100% and the schema already defines the single parameter as 'Search term.', so the baseline would be 3. The description adds genuine meaning by stating the term is matched against the name or the category, which the schema does not say.
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 (searches) and resource (components) plus the fields matched (name or category), which lets an agent distinguish it from get_component and list_components. It does not, however, differentiate itself from the parallel sibling search_images, which it never mentions.
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 when-to-use guidance at all: it never says to prefer this over list_components when the user has a keyword, nor when a direct get_component lookup is better. The agent must infer all routing from the sibling names.
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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