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Ahmednsh

searchapi-mcp-server

by Ahmednsh

youtube_search

Search YouTube via SearchApi by query and return videos with title, link, channel, views, duration, and publish time in structured text for LLM context.

Instructions

Search YouTube via SearchApi. Returns videos with title, link, channel, views, duration, and publish time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesVideo search query

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the returned fields (title, link, channel, views, duration, publish time), which is useful given there is no output schema. However, it says nothing about rate limits, auth requirements, result counts, or pagination.

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?

Two short sentences with zero filler; the core action is front-loaded and the return-shape summary follows. Nothing is redundant.

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 read-only search tool, the description covers what it does and what comes back, which is sufficient. The lack of any output schema or annotations means a bit more about result limits or provider behavior would have closed the remaining gap.

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?

Schema coverage is 100% for the single parameter (q, documented as 'Video search query'), so the schema already does the work. The description adds no format, syntax, or filtering details beyond it, making the baseline 3 appropriate.

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?

States a specific verb and resource ('Search YouTube'), which cleanly distinguishes it from the google_* siblings that target other verticals. It doesn't explicitly contrast those alternatives, but the resource itself makes the scope unambiguous.

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?

There is no guidance on when to use this versus google_search or the other sibling tools, nor any stated prerequisites or exclusions. Usage is only inferable from the name and the word 'Search'.

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