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stefanoamorelli

Companies House MCP Server

alphabetical_search

Find UK companies by name prefix with an alphabetically sorted list, adjustable page size, and starting index for pagination.

Instructions

Search companies alphabetically by name prefix

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesCompany name prefix
start_indexNoStarting index for pagination
items_per_pageNoNumber of results per page (1-100)
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It mentions the search method (alphabetical) but does not describe return format, pagination behavior, authentication needs, or side effects. This is insufficient for a tool without annotations.

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

Conciseness4/5

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

The description is a single concise sentence that efficiently conveys the core purpose. It is front-loaded and contains no unnecessary information, though additional structure (e.g., listing use cases) could improve scannability.

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

Completeness3/5

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

The tool has 3 parameters, no output schema, and moderate complexity. The description adequately explains the search purpose but omits details about return structure or pagination behavior, which would be useful given the absence of an output schema. It is minimally sufficient.

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

Parameters4/5

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

The input schema covers all three parameters with descriptions, achieving 100% coverage. The description adds the value 'alphabetically', which clarifies the ordering semantics beyond the schema's 'Company name prefix'. This is a meaningful addition.

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 'Search companies alphabetically by name prefix' clearly states the verb (Search), resource (companies), and method (alphabetically by name prefix). It effectively distinguishes this tool from siblings like 'search_companies' and 'advanced_company_search' which imply different search modes.

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 alternatives such as 'search_companies' or 'advanced_company_search'. It lacks context like prerequisites or exclusions, leaving the agent to infer usage without explicit direction.

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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