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Mapa Societario — Spanish Company Registry (BORME)

get_company_network

Show companies directly connected to one Spanish company: via a shared board/management officer (shared_officer — apoderados and representatives are excluded as low-signal), via being owned by it (owns), or via owning it (owned_by). Answers 'is there a relationship between company X and company Y?'. shared_officer edges carry status: 'active' means the shared officer still holds the seat at the connected company, 'ceased' means the registry has inscribed their cessation there — a ceased edge is a HISTORICAL link, do not report it as a current one. Active edges are listed first, so a truncated list keeps the live relationships. Resolves to one entity by current or former name (renames handled). Each connection links to mapasocietario.es.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoCompany name (fuzzy-resolved).
slugNoA mapasocietario /empresa slug.

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations provided, the description fully discloses behavioral traits: it resolves by current/former names, excludes low-signal officers, sorts active edges first, and clarifies that ceased edges are historical links not to be reported as current. This goes beyond what annotations would typically cover (e.g., sorting behavior, historical link warning). The description carries the full behavioral disclosure burden and does so thoroughly.

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 concise at ~80 words and front-loaded with the key purpose. Every sentence adds value (relationship types, exclusion rule, query purpose, edge status, sorting behavior, renaming handling, external link). One minor improvement would be to avoid the technical parenthetical '(shared_officer — apoderados...)' which could be slightly clearer, but overall it's well-structured without redundancy.

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

Completeness4/5

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

The description is complete for a discovery tool with good sibling context. It explains the relationship types, edge lifecycle (active/ceased), sorting, and entity resolution. Without an output schema, the description could hint at the return structure (e.g., that each connection includes a 'status' field), but it does mention that shared_officer edges carry status. A minor gap: it doesn't specify whether owns/owned_by edges have any status concept. Overall very good.

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% (both 'name' and 'slug' are documented in the schema). The description adds value by explaining fuzzy resolution and the slug being from mapasocietario /empresa, but these are largely redundant with the schema descriptions. Baseline 3 is appropriate since the schema already documents both parameters well.

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 tool shows companies connected to a Spanish company via three specific relationship types (shared_officer, owns, owned_by), and explicitly answers 'is there a relationship between company X and company Y?'. It provides specific detail about what is included/excluded (e.g., apoderados and representatives excluded from shared_officer) and the resolving behavior. This is a specific verb+resource+scope that distinguishes it from siblings like search_companies or get_company.

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 this tool ('answers is there a relationship...') and what it covers (Spanish company, specific connection types). It provides critical guidance on not reporting ceased edges as current ones. While it doesn't explicitly name alternatives, the sibling tools (get_company, search_companies, search_officers) are contextually distinct, and the description makes when-to-use unambiguous. The implicit not-for-free-text-search or general company lookup is clear.

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

A4.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: get_company retrieves a single company's profile, get_company_network shows connections between companies, search_companies finds companies by name, and search_officers finds a person and their linked companies. The descriptions explicitly guide when to use each, eliminating ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: get_company, get_company_network, search_companies, search_officers. The verbs 'get' and 'search' are used appropriately for retrieval vs. lookup, and the naming is predictable and clear.

Tool Count5/5

With 4 tools, the server is well-scoped for its purpose of querying a Spanish company registry. The count covers the essential operations (search, details, network, officers) without being too few or excessive, each tool earns its place.

Completeness5/5

The tool set covers the core lifecycle of querying company registry data: searching for companies, retrieving detailed profiles, exploring corporate networks, and investigating officer connections. There are no obvious gaps for this read-only domain, and edge cases (former names, truncation, status) are well-handled.