Skip to main content
Glama
gregbuehler

mcp-ff2026

by gregbuehler

sync_sleeper_market

Ingest Sleeper global add/drop trends to generate market signals for fantasy football decisions.

Instructions

Ingest documented Sleeper global add/drop trends as a market signal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
league_idNo
lookback_hoursNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing side effects and behavioral traits. 'Ingest' implies writing/updating data, but the description does not state whether this is a read-only operation, whether it makes external API calls, if it is idempotent, or what the impact on existing data is. This lacks critical behavioral context.

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?

The description is one short sentence, front-loaded with the verb 'Ingest'. It avoids verbosity and gets to the point quickly. However, it could be more structured by stating the purpose or usage context, but for conciseness alone it is effective.

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?

Despite having an output schema, the description is incomplete. It does not explain the parameters, when to use the tool, or the behavioral implications. The tool appears to be a data ingestion operation with optional parameters, but the description provides little context for an agent to invoke it correctly.

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 three parameters (limit, league_id, lookback_hours) with 0% description coverage. The description does not mention or explain any parameters, leaving the agent to guess their meaning and usage. This is a significant gap as the description should compensate for the lack of parameter documentation.

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 states a specific action ('Ingest') and resource ('Sleeper global add/drop trends'), making the core purpose clear. It also includes the purpose ('as a market signal'), which adds context. However, it does not explicitly differentiate from other sync tools like sync_fantasypros, but the source and data type are distinct enough.

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. There are no exclusions, alternatives, or context clues about suitable scenarios. The short description only states what it does, not when to invoke it.

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

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/gregbuehler/mcp-ff2026'

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