liara_set_env_vars

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Set or update' implies a mutation operation, it fails to describe critical behaviors: whether this replaces all existing variables or merges with them, if it requires specific permissions, what happens on success/failure, or if there are rate limits. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 function without any fluff or redundant information. It's appropriately sized and front-loaded, making it easy to parse quickly while conveying the essential purpose.

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 mutation tool with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits (e.g., overwrite vs. merge behavior), error handling, return values, and differentiation from sibling tools. This leaves the agent under-informed for safe and effective tool invocation.

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 schema description coverage is 100%, with clear documentation for both parameters ('appName' and 'variables'), including nested object details for variables. The description adds no additional parameter semantics beyond what the schema already provides, such as format examples or constraints not in the schema. This meets the baseline for high schema coverage but doesn't enhance understanding.

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 action ('Set or update') and target ('environment variables for an app'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'liara_set_env_var' (singular) or 'liara_delete_env_var(s)', leaving room for confusion about when to use this versus those alternatives.

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 like 'liara_set_env_var' (singular) or 'liara_delete_env_var(s)', nor does it mention prerequisites (e.g., app must exist) or context (e.g., whether this overwrites all existing variables). This lack of differentiation and context leaves the agent guessing about appropriate usage scenarios.

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