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Connect Prometheus metrics panel

connect_prometheus_metrics_panel

Create a Prometheus metrics scaffold including PromQL adapter notes, metric maps, alert routes, and operator-dashboard safety guidance.

Instructions

Create a Prometheus metrics scaffold with PromQL/client adapter notes, metric maps, alert routes, and operator-dashboard safety guidance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoGenerated baseCOMP name.prometheus_metrics_panel
activeNo
job_nameNotdmcp-show
alert_countNo
parent_pathNoParent COMP for the Prometheus scaffold./project1
adapter_modeNowebclient_promql
endpoint_urlNohttp://127.0.0.1:9090
metric_countNo
scrape_interval_secondsNo
Behavior3/5

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

Annotations (readOnlyHint=false, destructiveHint=false) are consistent with the description claiming creation. The description adds some context by mentioning 'operator-dashboard safety guidance' and 'alert routes', but does not disclose side effects, external dependencies (e.g., endpoint_url), or whether existing files are modified. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise. It front-loads the main action ('Create a Prometheus metrics scaffold') and then lists contents. It earns its place without unnecessary fluff, though the long list of items makes it slightly dense.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 9 optional parameters and no output schema, the description is too high-level. It doesn't specify what the scaffold consists of in concrete terms, how parameters affect the output, or what the user should expect after invocation. It needs more detail on functionality and parameter influence to be complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 22% (2 of 9 parameters have descriptions). The description mentions high-level concepts (metric maps, alert routes) but does not explain key parameters like alert_count, adapter_mode, metric_count, or scrape_interval_seconds. It fails to compensate for the low schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates a Prometheus metrics scaffold with specific components (PromQL/client adapter notes, metric maps, alert routes, safety guidance). It distinguishes itself from sibling connect_* tools by focusing on Prometheus metrics panel scaffolding, though the title says 'Connect' while the description says 'Create', causing slight ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance is provided about when to use this tool versus alternatives. The description doesn't mention prerequisites, scenarios, or exclusions. It's a single declarative sentence with no context on selection among the many similar connect_* tools.

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

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