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List Ask Elle answers by topic

list_answers
Read-onlyIdempotent

List every published Ask Elle question, grouped by topic (perimenopause and your body, food and nutrition, strength training, GLP-1 medications, staying consistent, coaching with Forty Forward). Optionally filter to one topic.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_answers"
  }
}

Input Schema

NameRequiredDescriptionDefault
topicNoOptional topic name or keyword, for example "nutrition" or "GLP-1".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds genuinely new behavioral detail: only *published* questions are returned and results are grouped by topic. It stops short of disclosing result volume, pagination, or ordering, which matter for a full-corpus listing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler, with the scope (all published questions, grouped by topic) front-loaded and the optional filter as a trailing qualifier. The topic enumeration is long but earns its space by supplying valid values.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-optional-parameter, read-only listing tool with no output schema, the description covers scope, grouping, and filtering adequately. The remaining gap is practical scale information — whether the full list is paginated or truncated — which an agent would want before calling it on an unfiltered request.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description goes beyond the schema's two loose examples by enumerating the six canonical topic values an agent can pass. With no enum constraint in the schema, that enumeration is the only authoritative source of valid topic names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource ("List every published Ask Elle question") and states the organizing principle (grouped by topic). It clearly reads as a browse/enumerate operation, but it never names a sibling such as search_answers or get_answer, so differentiation is inferred rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Optionally filter to one topic" gives the agent a usable calling pattern, and the parenthetical topic list implies this is the browse-by-category tool. However, there is no explicit when-to-use versus search_answers or get_answer, and no statement about what to do when the topic is unknown.

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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