push_prompt

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 vaguely suggests the tool helps 'understand' something, which doesn't clarify if it's a read-only operation, performs mutations, requires authentication, or has side effects. This leaves significant gaps in transparency for a tool that might involve creating or pushing prompts.

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 is somewhat front-loaded but inefficiently worded; it could be more direct (e.g., 'Provides guidance on creating and pushing prompts to LangSmith'). While not overly verbose, it doesn't maximize clarity or structure for quick comprehension.

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's potential complexity (involving prompt creation/pushing) and the presence of an output schema, the description is incomplete. It fails to explain what the tool actually returns or does operationally, relying too much on the output schema without providing enough context for an agent to understand its role among siblings or its behavioral impact.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here. A baseline of 4 is applied as it adequately handles the lack of parameters without introducing confusion.

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 the tool's purpose as helping 'understand how to create and push prompts to LangSmith,' which is vague and instructional rather than specifying what the tool itself does. It doesn't clearly state a specific action the tool performs (e.g., 'creates and pushes a prompt'), making it tautological to the name 'push_prompt' without concrete differentiation from siblings like 'list_prompts' or 'get_prompt_by_name'.

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 minimal guidance by saying 'Call this tool when you need to understand how to create and push prompts to LangSmith,' which implies usage for learning purposes but doesn't specify when to use it versus alternatives like 'list_prompts' for viewing prompts or 'create_dataset' for related tasks. There's no explicit when/when-not advice or clear context for selection among siblings.

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