Skip to main content
Glama

seasonal_candidates

Fetch seasonal anime candidates with server-side filters and apply preference heuristics to refine results.

Instructions

Fetch server-filtered seasonal anime candidates and apply residual preference heuristics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
seasonNo
sourceNomyanimelist
source_sortNoanime_num_list_users
limitNo
max_pagesNo
min_num_list_usersNo
include_skippedNo
fieldsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The description mentions 'server-filtered' and 'apply residual preference heuristics,' but fails to explain the heuristics or any behavioral aspects such as authorization, idempotency, or limits.

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

Conciseness3/5

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

The description is a single sentence, which is concise but lacks structure; it could benefit from additional details without being overly long.

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

Completeness2/5

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

Given the complexity (9 parameters, many sibling tools, no annotation support), the description is insufficient; it does not explain key concepts like 'residual preference heuristics' or parameter usage, though output schema exists.

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

Parameters1/5

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

With 0% schema description coverage and 9 parameters, the description provides no information about any parameter, leaving the agent completely uninformed about the purpose of inputs like 'year', 'season', or 'fields'.

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 specifies a verb ('Fetch') and a resource ('seasonal anime candidates'), but does not clarify how it differs from the sibling tool 'seasonal_anime' or what 'residual preference heuristics' means.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'seasonal_anime', nor any prerequisites or context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cpxazn/mcp-medusa'

If you have feedback or need assistance with the MCP directory API, please join our Discord server