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ThoTischner

observability-mcp

list_services

Discover service names across all backends, required before querying metrics or logs. Returns service name, source, and available signals.

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.
Behavior5/5

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

Discloses read-only behavior with no side effects. Describes return structure (service name, source, signals), which is beyond annotations (none provided).

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?

Well-structured with separate sections for purpose, usage, behavior, returns, and related tools. Every sentence adds value with no redundancy.

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?

Given the tool's simplicity (1 param, no output schema), the description fully covers purpose, usage, behavior, and output structure, making it complete.

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?

Only one parameter 'filter' with full schema coverage (100%). The description adds no new information about the parameter beyond what the schema already provides, so baseline 3.

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 discovers service names across backends, with a specific verb 'Discover' and resource. It distinguishes from siblings like `query_metrics` by noting it is a prerequisite.

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 states when to use (before `query_metrics`, `query_logs`, `get_service_health`) and provides related tools (`list_sources`, `get_service_health`) for alternative use cases.

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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