Listar artigos de metodologia
list_methodologyLista os artigos técnicos que explicam como os indicadores e modelos do Observatório são calculados, com slug e resumo.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_methodologyLista os artigos técnicos que explicam como os indicadores e modelos do Observatório são calculados, com slug e resumo.
| 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, idempotentHint=true, destructiveHint=false and closed-world, so the safety profile is fully covered. The description adds that results include slug and a summary, and what the articles are about, but nothing about ordering or result size.
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 front-loaded sentence with no filler; the resource, its scope and the returned fields all land in one clause.
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 parameterless list tool whose annotations cover the safety profile, the description is nearly sufficient: it says what is listed and what each entry contains even though no output schema exists. Only ordering and list size are left unstated, which is minor.
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, so the baseline is 4. The description does not need to document any input, and it usefully describes the shape of the list items (slug, resumo) instead.
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 and resource: lists the technical articles explaining how the Observatory's indicators and models are calculated. It also names the content of each item (slug and summary), which implicitly separates it from get_methodology (single-article retrieval) without naming that sibling explicitly.
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 this is the discovery step used before fetching a specific article via get_methodology, since the description says each item carries a slug. There is no explicit when-to-use/when-not statement or named alternative.
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.