run_experiment

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 only mentions understanding how to run experiments, but doesn't reveal whether this tool actually executes experiments, provides documentation, returns configuration templates, or has any side effects. Critical behavioral traits like mutability, authentication needs, or rate limits are completely unspecified.

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 sentence that's reasonably concise, but it's not optimally structured. It could be more front-loaded with the tool's actual function rather than framing it as 'understanding how to run experiments'. The sentence earns its place but could be more direct.

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 tool has 0 parameters, 100% schema coverage, and an output schema exists, the description doesn't need to explain return values. However, for a tool in a complex ecosystem with many sibling tools, the description is insufficiently complete - it doesn't clarify what the tool actually produces or how it differs from related tools despite the structured data being adequate.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description doesn't need to compensate for any parameter gaps. While it doesn't add parameter-specific information (since there are none), this is appropriate for a parameterless tool.

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 'run experiments and evaluations in LangSmith' which gives a general domain but lacks a specific verb+resource combination. It doesn't clearly distinguish what this tool actually does versus siblings like 'list_experiments' or 'fetch_runs'. The purpose is vague rather than tautological, but insufficiently specific for tool selection.

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 says 'Call this tool when you need to understand how to run experiments...' which provides minimal context about when to use it, but offers no guidance on when NOT to use it or what alternatives exist among the sibling tools. There's no comparison to similar tools or exclusion criteria.

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