Get methodology
get_methodologyReturn one curated methodology section selected from a fixed enum.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| section | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_methodologyReturn one curated methodology section selected from a fixed enum.
| Name | Required | Description | Default |
|---|---|---|---|
| section | Yes |
| 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, and destructiveHint=false, so the safety profile is covered. The description adds the 'curated' and 'fixed enum' context, but these are minor. There is no contradiction, and the description does not add significant behavioral detail beyond the annotations.
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?
The description is a single sentence with no filler. It front-loads the main action and the key constraint (fixed enum). Every word earns its place.
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 simple one-parameter tool with an output schema present, the description covers the essential behavior. The annotations cover safety, and the schema defines the parameter. The only minor omission is a hint about what the returned section contains, but the output schema likely handles that. Overall it is complete enough for correct invocation.
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?
Schema coverage is 0%, so the description must compensate. However, the description only restates that the section is selected from a fixed enum, which mirrors the schema. It does not explain the meaning of each enum value or provide additional context about the content of each section. The enum values are self-explanatory, but the description fails to add value beyond what the schema already exposes.
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 clearly states a specific action ('Return') on a specific resource ('one curated methodology section') and notes it is selected from a fixed enum. This distinguishes it from sibling tools like 'get_cohort_results' or 'get_ballot_receipt' without ambiguity.
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 tool's purpose implies it should be used when methodology section content is needed, but there is no explicit guidance on when to choose it over alternatives or any exclusion criteria. The sibling list shows it is unique in covering methodology, so usage is implied rather than stated.
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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