popular_templates
Templates people choose most in Meme Studio: trending this week or most used overall.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | trending | |
| limit | No | ||
| animated | No |
Templates people choose most in Meme Studio: trending this week or most used overall.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | trending | |
| limit | No | ||
| animated | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is fully covered elsewhere. The description's one contribution is ranking semantics ('trending this week' vs 'most used overall'), which tells the agent the ordering changes by mode. It says nothing about result shape, ordering guarantees, or whether an empty result is possible.
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 compact sentence that front-loads the resource and then the two modes. Nothing is wasted, though the fragment style ('Templates people choose most in Meme Studio:') is slightly less direct than a verb-first phrasing would be.
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 three-parameter tool with no output schema and 0% schema description coverage, the description should at minimum explain what 'limit' caps and what 'animated' filters. Neither is addressed, so an agent must guess at two of the three inputs. Annotations cover the safety story, which keeps this from a 1.
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 description coverage is 0%, so the description must carry parameter meaning. It only implicitly explains the 'kind' values (trending/most used) and leaves 'limit' (max 30) and 'animated' (a filter, presumably) entirely unexplained in both schema and description. 'Animated' in particular is ambiguous — filter vs. include — and the description does nothing to resolve it.
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 names the resource (templates) and the discriminating characteristic (most popular), and splits it into two concrete modes: trending this week and most used overall. That maps cleanly onto the sibling get_template/search_templates distinction by signalling this is a ranked, popularity-ordered list rather than a lookup or query. The retrieval verb itself is only implied ('Templates people choose most'), which keeps it from a 5.
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 implied rather than stated: an agent can infer this is the tool to call when it wants popular template suggestions rather than a specific template or a keyword search. There is no explicit 'use this instead of search_templates when...' guidance, and no mention that it takes no required parameters, so selection still relies on inference.
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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