search_claude

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions a timeout parameter but doesn't explain what happens when timeout is reached, what type of response to expect (text, structured data, etc.), whether this makes API calls to external services, or any rate limits. For an AI assistant tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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 extremely concise at just two sentences, with zero wasted words. It's front-loaded with the main purpose statement. However, the extreme brevity comes at the cost of completeness - more information would be helpful for this type of tool.

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 an AI assistant tool with no annotations and no output schema, the description is insufficient. It doesn't explain what kind of response to expect, how results are formatted, whether this is a conversational interface or one-off query, or any authentication requirements. The agent needs more context to use this tool effectively compared to simpler tools.

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?

Schema description coverage is 100%, so the schema already fully documents both parameters. The description adds the parameter names and basic types but provides no additional semantic context beyond what's in the schema descriptions. The baseline of 3 is appropriate when the schema does all the parameter documentation work.

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 states 'Anthropic Claude assistant' which identifies the resource, but the verb 'search' is ambiguous - it could mean searching Claude's knowledge, using Claude as a search engine, or querying Claude as an AI assistant. The description doesn't clarify what specific action is performed with Claude, making the purpose somewhat vague. It distinguishes from non-Claude siblings but not clearly from other AI assistants in the list.

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 the many alternatives in the sibling list (search_chatgpt, search_gemini, search_grok, etc.). There's no indication of Claude's specific capabilities, strengths, or appropriate use cases compared to other AI models or search engines. The agent receives no help in selecting between these similar tools.

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