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ThoTischner

observability-mcp

list_services

Read-onlyIdempotent

Retrieve service names across all connected backends to get exact, case-sensitive names needed for querying metrics, logs, or service health.

Instructions

Discover the service names that can be queried, aggregated across every connected backend. When to use: call this before query_metrics, query_logs, or get_service_health to obtain the exact, case-sensitive service name those tools require. Behavior: read-only, no side effects. Returns one entry per service with the service name, the source(s) it was discovered in, and which signals are available for it (metrics, logs, or both). Related: list_sources for backend health; get_service_health for a per-service overview.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoOptional case-insensitive substring to narrow the result to matching service names (e.g. 'payment'). Omit to list every discovered service.
Behavior4/5

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

Declares read-only, no side effects, which matches annotations (readOnlyHint, idempotentHint). Adds detail about return structure (name, sources, available signals). No contradictions.

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?

Front-loaded with purpose, followed by usage, behavior, and output summary. Every sentence adds value; no wasted words.

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

Completeness5/5

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

Tool has one optional parameter, no output schema, but description explains return structure. Annotations cover safety. No gaps for agent decision-making.

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

Parameters3/5

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

Schema coverage is 100%; the description's mention of the filter parameter mirrors the schema's description exactly. No additional semantics beyond what schema already provides.

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?

Clearly states verb 'discover', resource 'service names', and scope 'aggregated across every connected backend'. Distinguishes from siblings by naming alternative tools and their purposes.

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

Usage Guidelines5/5

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

Explicitly says to call before query_metrics, query_logs, and get_service_health to obtain exact case-sensitive names. Also references related tools list_sources and get_service_health, giving clear when-to-use and alternatives.

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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