get_prometheus_series

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 but offers minimal information. It doesn't specify whether this is a read-only operation, what permissions are required, how results are formatted (e.g., JSON array), or any rate limits. The description only states what the tool does functionally, not how it behaves operationally.

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 purpose with zero wasted words. It's appropriately sized for a tool with good schema documentation and gets straight to the point without unnecessary elaboration.

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 tool with 4 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what the tool returns (series metadata? actual data points?), doesn't mention error conditions, and provides no behavioral context. The 100% schema coverage helps, but the description alone leaves significant gaps in understanding the tool's complete behavior.

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?

Schema description coverage is 100%, providing clear documentation for all 4 parameters. The description adds no additional parameter semantics beyond what's in the schema, so it meets the baseline of 3. It doesn't explain relationships between parameters (e.g., that 'start' and 'end' are optional time bounds for the series search).

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 ('Find series matching label matchers') and resource ('from a Prometheus datasource'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_prometheus_labels' or 'get_prometheus_label_values', which also query Prometheus metadata but for different resources.

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. It doesn't mention sibling tools like 'query_prometheus' (which might retrieve actual metric data) or 'get_prometheus_metadata' (which might provide different metadata), leaving the agent without context for tool selection.

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