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capabilities

Search Companies House for UK companies by name

company_uk_search
Read-onlyIdempotent

Search the UK Companies House register by name or keyword and return matching companies with company number, register status and a derived is_active, type, incorporation and cessation dates and the register's one-line address snippet. Use when: Look up a UK company by name. Not for: You already have the company number — call company.uk.profile or company.uk.status directly. Related: company_uk_status; company_uk_profile; company_uk_directors; company_uk_owners. Price: USD 0.002/call (x402), 0.0015 (account key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesCompany name or keyword to search for.
limitNoMaximum results to return (1-50). Default 10.
offsetNoZero-based offset into the register's result set for paging. Pass back page.next_offset from the previous response; page.has_more says whether there is one.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesCapability output; full JSON Schema at https://api.eckari.com/v1/capabilities/company.uk.search
metaYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint as false, providing a strong behavioral baseline. The description adds valuable context about pricing per call and account-level discounting, which is not in annotations. However, it doesn't describe pagination behavior beyond what's hinted in the schema description for offset.

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?

Four sentences, front-loaded with the core purpose, then usage guidance and pricing. Every sentence adds value with no redundancy. Extremely efficient.

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

Completeness5/5

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

Given the tool's moderate complexity (3 params, simple return), existing annotation coverage, and complete schema documentation, the description is fully adequate. It covers purpose, usage rules, behavioral traits (pricing), and relationships to siblings. The output schema exists but is not shown here, so no need to describe return values.

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 description coverage is 100% with three parameters fully described (q, limit, offset). The description adds minimal semantic value beyond listing some return fields. Baseline 3 is appropriate since the schema already does the heavy lifting.

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 it searches the UK Companies House register by name or keyword, listing specific return fields. It distinguishes itself from siblings by explicitly mentioning what not to use it for when a company number is known, and names alternative tools (company_uk_profile, company_uk_status).

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

Usage Guidelines5/5

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

The description explicitly states when to use ('Look up a UK company by name'), when not to use ('You already have the company number'), and provides clear alternatives. This level of guidance is exemplary.

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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TDQS

A4.4/5.0
Disambiguation4/5

Tools are largely distinct, targeting specific entities (UK company, US company, domain, LEI, FX, location, parcel, weather) or sub-aspects (e.g., accounts vs. charges vs. directors). Overlap exists between company.uk.profile and company.uk.status (both contain status info, but the latter is cheaper and focused). Also, company.uk.filings and company.us.filings_latest could be confused if an agent generalizes 'filings' across jurisdictions.

Naming Consistency5/5

All tools follow a consistent pattern: domain_entity_subject (e.g., company_uk_accounts, domain_expiry, weather_us_alerts). Underscores and lower case are used throughout. Verbs are implied by the noun (e.g., 'search' for lookup, 'detect' for identification). No mixed conventions or unpredictable names.

Tool Count4/5

24 tools is on the high side but still reasonable for a general-purpose data server spanning multiple domains (company, domain, entity, fx, location, parcel, weather). Each domain gets a cohesive set, and the documentation justifies each tool. Could be slightly leaner if some niche tools (e.g., domain_expiry vs. registration) were merged, but overall scoping is acceptable.

Completeness4/5

Each domain offers good coverage: UK company tools cover CRUD-like operations (profile, status, search, filings, charges, directors, owners, registered office); similarly for US companies (profile, filings, resolve, latest filings). Weather has forecast, observation, alerts. Parcel only detects carrier (no tracking). Missing features like advanced filtering on company filings or less common domains, but core workflows are covered.

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