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list_guides

Read-onlyIdempotent

The site's Guides: evergreen buying-guide pages served at /guides/{id}, stored in the roundups collection. Returns every guide in display order with its id, heading, lede, reviewed date and draft flag. A guide's full content (contenders, choose, howToChoose, faqs, sources) is on the object itself: get_object with collection "roundups".

Returns: paginated roundups objects with url per item.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
itemsYesMatching roundups objects, each decorated with a `url` field where the collection has a public URL pattern configured. Field set varies by collection — call describe_collection for the schema.
limitYesCap applied to this response — server may have lowered the requested limit.
totalYesTotal matching items (post-persona-filter).
offsetYes
has_moreYesTrue when total > offset + count(items); call again with offset += limit to paginate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds real context beyond that: results come back in display order, the draft flag is meaningful metadata, and pagination behavior. It doesn't say what pagination controls look like, but that's minor here.

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

Conciseness4/5

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

Front-loaded with what the tool returns and how it's stored, then the get_object pointer. The trailing 'Returns: paginated roundups objects with url per item' partially repeats the fields already enumerated in the first sentence, costing a little tightness.

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?

An output schema exists, yet the description still summarizes the returned fields and pagination, which is helpful orientation rather than wasted duplication. Combined with annotations, an agent has what it needs to call this correctly; only edge cases like empty results or paging mechanics are unstated.

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?

Zero parameters, so there is nothing to document and the baseline of 4 applies. The description's mention of pagination is the only hint that paging might be involved, which is consistent with a no-arg call returning a paginated envelope.

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

Purpose5/5

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

Names the specific resource (evergreen buying-guide pages), its serving path (/guides/{id}), and its backing collection (roundups). It also distinguishes itself from get_object by stating where full guide content lives, so an agent can tell the two apart without opening schemas.

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

Usage Guidelines4/5

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

Implicitly scopes use to listing/overview of guides and explicitly routes to get_object with collection "roundups" when full content is needed. It does not state exclusions (e.g., when to prefer search_collection or query_collection for filtered subsets), so it stops short of a full when/when-not matrix.

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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