value_read

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. It states the tool is read-only (implied by 'Read'), which is helpful, but doesn't disclose if this operation might trigger side effects (unlikely given the name, but not stated). The null return behavior is transparent, but details like latency, permissions, or rate limits are absent. The description is adequate but not thorough for a read tool with no annotations.

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: two sentences that cover purpose and a key behavioral detail (null return). There is no fluff or redundant information. Every word earns its place.

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 simplicity (one parameter, no annotations, output schema exists but description needn't explain returns), the description is nearly complete. It explains what the tool does and the null behavior. However, with an output schema present, the description could optionally hint at the structure of the returned value, but this is not required. It slightly lacks context on when to use this versus other sibling 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?

The schema description coverage is 0%, meaning neither the schema nor description provides additional details beyond the parameter name 'value_id'. However, with only one parameter and a clear tool purpose ('Read a single value by ID'), the semantics are inherently clear. The description adds meaning by explaining that providing an ID returns the value or null. Given the simplicity, this is well-addressed.

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 'Read a single value by ID', which is a specific verb ('Read') and resource ('single value'). It also mentions the return behavior ('Returns null if not found'), which distinguishes it from siblings like value_list (which returns multiple) or value_add (which creates). However, it could further clarify that this is a lookup operation versus value_list's listing operation.

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 explicit guidance on when to use this tool versus siblings. For example, it doesn't indicate that this should be used when you have a specific ID and need only that value, whereas value_list might be for browsing. There are no alternatives or exclusions mentioned.

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