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YangLiangwei

PersonalizationMCP

by YangLiangwei

get_user_saved_shows

Retrieve a user's saved podcast shows with pagination support for personalized context-aware interactions.

Instructions

Get user's saved podcast shows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
access_tokenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

D1.9/5.0
Behavior1/5

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

No annotations are present, so the description must disclose behavioral traits. It does not mention pagination, rate limits, OAuth, or any side effects. For a read operation, it doesn't even state whether authentication is needed. The description carries no behavioral information.

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 a single sentence, which is concise, but it is under-specified rather than appropriately sized. It omits essential details, making it more of an under-specification than efficient communication.

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?

With three parameters, no output schema, and no annotations, the description provides almost no contextual completeness. It does not explain what the response looks like, how to handle errors, or how to paginate. The tool is essentially unusable based on this description alone.

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?

Schema description coverage is 0%, so the description must explain the parameters. It does not mention limit, offset, or access_token at all. The agent cannot infer their semantics from the description alone, making the parameters effectively undocumented.

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 clear verb ('Get') and resource ('user's saved podcast shows'). It is specific enough to distinguish from sibling tools like get_user_saved_tracks or get_user_saved_albums, though it doesn't explicitly name alternatives. The purpose is unambiguous.

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

Usage Guidelines1/5

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 the many sibling saved-content tools. There is no mention of authentication requirements, preconditions, or context. An agent receives no help in selecting this tool over others.

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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