About this database
about_databaseSources, licences, read dates, coverage counts and known gaps. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
about_databaseSources, licences, read dates, coverage counts and known gaps. Free.
| 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, idempotentHint, destructiveHint=false and closed-world scope, so the safety profile is fully covered. The description adds two pieces of genuinely new context: cost ('Free') and that the payload includes coverage counts and known gaps. It does not describe the return structure, but with the safety profile already supplied by annotations this is adequate.
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?
Roughly ten words, front-loaded, with zero filler sentences. The telegraphic noun-list style is slightly under-framed for an agent looking for an explicit action verb, which keeps it from a 5, but nothing is wasted.
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 trivially simple, zero-parameter, read-only tool with no output schema, the description covers the important gap by listing what the response contains, including provenance and limitations. Only minor ambiguity (format, language, licence detail) remains, and that is acceptable at this complexity.
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 schema has zero parameters, so per the rubric the baseline is 4. There is no parameter syntax or filtering behavior the description needs to compensate for, and it correctly implies a no-argument, static-information call.
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 exactly what the tool surfaces (sources, licences, read dates, coverage counts, known gaps), which for a zero-parameter metadata tool is effectively a purpose statement, and it is clearly distinguishable from the clinical siblings (get_doctor, search_doctors, list_specialties). It lacks an explicit verb/action, so an agent must infer that it returns database-level documentation rather than data.
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?
No statement of when to call this versus the sibling tools, nor any prerequisite. The mention of 'known gaps' weakly implies consulting it before relying on coverage, but that inference is left entirely to the agent. 'Free' is a cost note, not usage guidance.
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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