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start_metrics_endpoint

Start a Prometheus metrics exporter to expose /metrics endpoint for Grafana dashboards, tracking device reachability, command execution counts, and compliance scores.

Instructions

Get instructions to start the Prometheus metrics exporter.

Exposes /metrics endpoint for Grafana dashboards. Tracks device reachability, command execution counts, and compliance scores. Requires: pip install mcp-telecom[metrics]

Args: port: HTTP port for Prometheus metrics (default: 9090)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description discloses that the tool exposes an endpoint and tracks specific metrics, but it is ambiguous whether it actually starts a process or just returns instructions ('Get instructions to start'). No annotations are provided, so the description carries the full burden, and it partially lacks clarity on side effects or permissions.

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

Conciseness5/5

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

The description is very concise, using two sentences plus a requirement line and an args line. It front-loads the main purpose, and every sentence adds value without redundancy.

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

Completeness4/5

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

Given the tool has only one optional parameter and no annotations, the description covers the essential functionality, tracked metrics, and parameter. It does not describe the output schema, but that is provided separately. The ambiguity about starting vs. instructions leaves a minor gap.

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

Parameters4/5

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

The description adds meaning to the 'port' parameter by stating it is the HTTP port for Prometheus metrics and mentioning the default. Since schema description coverage is 0%, this compensation is valuable, though a valid range or format would further improve it.

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

Purpose5/5

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

The description clearly states the tool starts the Prometheus metrics exporter and exposes the /metrics endpoint for Grafana dashboards. The verb 'Get instructions to start' is specific, and it distinguishes itself from sibling tools like start_dashboard by focusing on Prometheus metrics.

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

Usage Guidelines4/5

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

The description provides a prerequisite ('Requires: pip install mcp-telecom[metrics]'), which helps the agent understand dependencies. It does not explicitly state when to use versus alternatives, but the narrow focus on Prometheus metrics makes the usage context clear.

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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