AI Makerspace MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool searches the web but doesn't disclose any behavioral traits such as rate limits, authentication needs, result formats, pagination, or potential side effects. This leaves significant gaps for an AI agent to understand how the tool behaves beyond its basic function.

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

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

The description is a single, efficient sentence that directly states the tool's purpose without any wasted words. It's appropriately sized and front-loaded, making it easy to parse quickly. Every part of the sentence contributes to understanding the tool's function.

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

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

Given the complexity of a web search tool with no annotations, no output schema, and low parameter documentation (0% schema coverage), the description is incomplete. It lacks details on behavioral aspects, result handling, and parameter usage, which are crucial for effective tool invocation by an AI agent in this context.

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

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

The description adds minimal meaning beyond the input schema. It mentions 'the given query', which aligns with the single 'query' parameter in the schema, but schema description coverage is 0%, so the schema provides no details about the parameter. The description doesn't compensate by explaining query syntax, length limits, or examples, leaving the parameter semantics largely undocumented.

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

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

The description clearly states the tool's purpose with a specific verb ('Search') and resource ('the web'), and specifies the action is about 'information about the given query'. It's not tautological and distinguishes itself from siblings like get_crypto_price and roll_dice by focusing on general web search rather than specific data retrieval or random generation.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any context, exclusions, or comparisons with sibling tools like get_crypto_price for cryptocurrency data or roll_dice for random number generation. Usage is implied only by the general purpose stated.

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