getCallLog

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

Annotations declare readOnlyHint=true, so the description doesn't need to restate that. It adds context about return content (transcript, sentiment, extracted variables), but does not disclose any behavioral limitations or permissions. Adds some value beyond the annotation.

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 one sentence, front-loaded with purpose, and includes a useful parenthetical list of returned fields. The 'Tags: Calls' is minor extra but not detrimental. No redundant content.

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?

For a simple single-parameter read tool with no output schema, the description gives a solid overview of return contents. It could mention error handling or the exact response shape, but the listed fields and specificity are sufficient for most agents.

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 single parameter call_log_id is fully described in the schema with clear provenance ('as returned by the call log list'). The tool description does not add new meaning, so baseline 3 applies given 100% schema coverage.

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 tool retrieves detailed information about a specific call, enumerating key data points (duration, status, transcript, sentiment, extracted variables). This distinguishes it from sibling list/bulk call tools by focusing on a single resource's details.

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 implies usage for single-call lookups via 'specific call', but it does not explicitly state when to use this over listCallLogs or fetchBulkCalls, nor does it mention exclusions or prerequisites. Context is present but not made explicit.

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