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jsilvanus

skosmos-mcp

by jsilvanus

autocomplete

Autocomplete concept labels by prefix to find matching terms from a vocabulary. Specify language and maximum suggestions for precise results.

Instructions

Autocomplete concept labels by prefix

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage code
prefixYesLabel prefix to complete
maxhitsNoMaximum number of suggestions
vocabularyNoLimit to this vocabulary
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the basic operation, omitting important details such as whether the tool is read-only, the format of suggestions, or any side effects. The autocomplete nature implies a read operation, but this is not explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-formed sentence that conveys the core purpose with no unnecessary words. It is ideally concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of an output schema, the description should provide some indication of what the tool returns (e.g., list of suggestions). It fails to do so, leaving a gap in contextual completeness for a tool with 4 parameters and no output specification.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the input schema already describes each parameter sufficiently. The description adds no additional context or examples, meeting the baseline expectation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('autocomplete'), the resource ('concept labels'), and the method ('by prefix'), making the purpose immediately understandable. It precisely matches the tool's name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus sibling tools like 'search_concepts' or 'resolve_label'. There is no mention of context, prerequisites, or exclusions.

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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