Skip to main content
Glama
DanielTomaro13

sportsdata-mcp

afl_content_photo_list

Retrieve a paginated list of AFL photo content, filtered by tags or reference expressions.

Instructions

List photo content.

Returns: {pageInfo, content:[{id, type:'photo', title, leadMedia}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
tagNamesNo
tagExpressionNo
referenceExpressionNo
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It does not mention pagination, authentication, rate limits, error handling, or any side effects. The return structure is partially given, but critical behavioral details are missing.

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

Conciseness2/5

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

The description is extremely short, but it is under-specified rather than concise. It fails to include necessary information about parameters and usage, so the brevity is detrimental.

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

Completeness1/5

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

Given the complexity (5 parameters, no output schema), the description is woefully incomplete. It provides a partial return structure but omits parameter semantics, behavioral context, and any usage guidance, leaving agents with insufficient information.

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?

The input schema has 5 parameters with 0% description coverage, and the description does not explain any parameter's meaning. Agents have no information about 'limit', 'offset', 'tagNames', 'tagExpression', or 'referenceExpression', making it impossible to use correctly.

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 clearly states 'List photo content', which is a specific verb+resource. It distinguishes from sibling 'afl_content_photo_get' (single photo retrieval) and other list tools, though it does not elaborate on scope or filtering.

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, nor are any prerequisites or exclusions mentioned. The description is a bare statement without contextual advice.

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/DanielTomaro13/sportsdata-mcp'

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