about
Says who runs this service, the agent's CEA registration and agency licence, how the service is paid for, and how to reach the agent.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Says who runs this service, the agent's CEA registration and agency licence, how the service is paid for, and how to reach the agent.
| 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?
With no annotations, the description carries the full behavioral burden, and it does disclose the exact payload contents (identity, licence, payment, contact) rather than just restating the name. It is implicitly a non-mutating, zero-parameter info read. It does not state whether the content is static or whether any auth/context is required, which keeps it short of a 5.
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?
A single sentence that front-loads the core subject ('who runs this service') and then enumerates the remaining payload items. No filler, no repetition of the tool name or title.
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?
With no output schema and no annotations, the description must convey the return content itself, and it lists all four categories an agent would need. It stops short of describing shape (single object vs. sections) or any freshness/auth caveats, a minor gap for a zero-param informational tool.
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; there is nothing for the description to disambiguate. The description is consistent with the empty schema, so no gap exists here.
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?
The description enumerates the specific content the tool returns: service operator identity, CEA registration and agency licence, payment model, and contact details. That is concrete enough for an agent to know exactly what it gets, though it never contrasts itself with any sibling. The sibling list is entirely transactional (book_call, list_launches, rules_for_buyer), so 'about' is distinguishable by its informational nature without further differentiation.
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?
Usage is only implied: an agent can infer it should call this when a user asks who the agent is, whether they are licensed, or how payment/contact works. There is no explicit statement of when to call it, when not to, or which sibling to prefer for overlapping questions. Adequate but leaves the trigger entirely to inference.
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.