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darrenjrobinson

Entra.Chat Podcast MCP Server

get_guest

Find a podcast guest by full or partial name and get their social profile links plus a full list of episode appearances with number, title, date, and URL.

Instructions

Get a specific Entra.Chat guest by name: their profile links (LinkedIn, Twitter/X, GitHub, Bluesky, website) and every episode they appeared on, enumerated with episode number, title, date, and URL. Partial names match; returning guests show all their appearances.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesGuest name to look up (case-insensitive; partial names match)
Behavior4/5

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

With no annotations, the description carries the burden of explaining behavior. It discloses that partial names match, that returning guests show all their appearances, and enumerates the exact fields returned. It does not mention error handling or auth, but the read-only nature is clear from 'Get'.

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

Conciseness5/5

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

The description is a single focused sentence that front-loads the core purpose before detailing the return contents. Every clause adds useful information, with no filler or redundancy.

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

Completeness4/5

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

For a one-parameter lookup with no output schema, the description does a good job of specifying the return structure: profile links and episode details (number, title, date, URL). It omits edge-case behavior like multiple partial matches, but overall it gives an agent enough context to understand what the tool returns.

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

Parameters3/5

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

The schema already describes the 'name' parameter well (case-insensitive, partial names match), and the description mostly restates this. High schema coverage means the description adds little beyond what is already in the input schema, so the baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Get a specific Entra.Chat guest by name.' It clearly distinguishes this from sibling tools like list_guests or get_episode by focusing on a single guest and describing the exact return payload (profile links and episode appearances).

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

Usage Guidelines3/5

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

The description implies the tool is for targeted guest lookups ('specific guest by name') and notes that partial names match, but it does not explicitly contrast with alternatives such as list_guests or search_entra_podcasts. There is no when-to-use or when-not-to-use guidance.

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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