list_toolkits
List published toolkit pages (curated bundles): id, title, slug, url, category.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max items to return. Omit for all. | |
| offset | No | Items to skip (paging). |
List published toolkit pages (curated bundles): id, title, slug, url, category.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max items to return. Omit for all. | |
| offset | No | Items to skip (paging). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description fully carries the burden. It indicates a read operation but lacks details on pagination behavior, rate limits, or authentication requirements. The output fields are listed, but response structure (array, order) is omitted.
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 concise sentence (10 words) that covers purpose and output fields. It is efficient but could be slightly more structured (e.g., mentioning it is a safe read operation).
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 tool with no annotations and no output schema, the description is barely adequate. It lists output fields but does not describe the full response format (e.g., array of objects), default ordering, or pagination behavior. Important behavioral context is missing.
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 100% and both parameters (limit, offset) are well-described in the schema. The description adds no extra meaning beyond listing output fields, so baseline of 3 is appropriate.
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 the tool lists published toolkit pages (curated bundles) and specifies the returned fields: id, title, slug, url, category. This distinguishes it from sibling tools like list_tools (individual tools) and list_categories (categories alone).
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 description implies usage for listing curated toolkit pages but does not explicitly state when to use this tool over siblings like list_tools or list_categories. No exclusions or alternatives are mentioned.
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.
Every tool targets a distinct entity or action: list tools enumerate different content types, get tools retrieve specific entities, search finds across the catalogue, compare_tools does head-to-head comparison, and the two cross-reference tools (rankings_for_tool and tools_in_ranking) are inverse operations. No two tools have overlapping purposes.
Most tools follow a consistent verb_noun pattern (list_*, get_*, compare_tools, search), but 'rankings_for_tool' and 'tools_in_ranking' deviate with a noun_prep_noun pattern. These two are internally consistent with each other and remain readable, so the overall convention is only slightly disrupted.
16 tools is slightly above the ideal 3-15 range but still well-scoped for a catalogue covering seven entity types, search, comparison, and cross-references. Each tool has a distinct role and none are redundant, so the count feels justified rather than bloated.
The tool surface covers all major content types with list and get (except categories and toolkits, which only have list endpoints), plus search, comparison, and inverse cross-references. Minor gaps like missing get_toolkit or get_category are workaround-able since list_toolkits and list_categories expose sufficient metadata.