Get company data
egestor_get_companyGet the registration data of the company that owns the token. eGestor API: GET /v1/empresa.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
egestor_get_companyGet the registration data of the company that owns the token. eGestor API: GET /v1/empresa.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so safety is covered. The description adds the upstream endpoint (GET /v1/empresa) and the token-scoping rule, which is useful context, but says nothing about what happens on an invalid/expired token or how errors surface.
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?
Two short sentences with zero waste; the core purpose is front-loaded and the API reference is appended as a compact secondary detail.
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 no-parameter read tool with readOnlyHint set and no output schema, the description gives enough: what is fetched, whose data it is, and the underlying endpoint. A brief note on what 'registration data' includes or the error behavior would close the remaining gap.
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?
The tool takes zero parameters, which is the baseline-4 case. The description correctly adds no parameter claims, and the token-scoped nature implicitly explains why no identifier argument is needed.
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 ('Get') and resource ('registration data of the company'), plus a meaningful scope qualifier ('that owns the token'). No sibling tool covers company data, so the resource alone distinguishes it from the contact/payable/sale tools in the sibling list.
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?
The token-ownership scoping implies the usage context (fetch the authenticated account's company profile), but there is no explicit when-to-use or when-not guidance and no mention of alternatives. Usage is inferable rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.