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get_service_instance

Read-only

Read one managed service (the twin of ankra services get): its deployment state; its health as the platform last observed it; its readiness, with the evidence of the canary that connects with the generated credentials; its consumers; and its connection - the cluster-internal endpoints and the Kubernetes Secret holding its credentials, by name and keys only, never a credential value. Use it to follow a setup until the service is serving, and for the generation and consumer ids a retirement needs. A retirement whose outcome is retired released the name; its data_disposal says whether the service's data may remain (data_kept, unconfirmed) and kept_data names the volumes, the cluster, when Ankra last looked and the Ankra CLI commands to inspect or erase them. Never report such a service as plainly deleted, and say kept_data is what Ankra saw then, not now. Read-only.

Input Schema

NameRequiredDescriptionDefault
instance_idYesService instance id (UUID) from list_service_instances.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Adds substantial behavioral detail beyond readOnlyHint: it states credentials are exposed by name and keys only, never as values; describes retirement semantics around data_kept and kept_data; and warns not to report such a service as plainly deleted. These are important caveats an agent must know when interpreting results.

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?

Front-loads the core action and is dense with useful specifics, but the single long paragraph carries multiple distinct ideas, especially retirement caveats. It is mostly efficient, though slightly overpacked for one tool description.

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?

With no output schema, the description carries the burden of explaining what is returned and does so thoroughly: deployment state, health, readiness evidence, consumers, connection details, and retirement-related data observations. It also provides the key caution needed to interpret retirement results correctly.

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 description coverage is 100%, and the single instance_id parameter is already documented as coming from list_service_instances. The description adds no further parameter meaning, but with complete schema coverage the baseline score is appropriate.

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?

States a specific verb and resource: "Read one managed service," then enumerates the returned facets such as deployment state, health, readiness, consumers, and connection. It clearly distinguishes reading one instance from listing many by saying "one managed service," but it does not explicitly name sibling tools or contrast them.

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?

Gives clear usage contexts: "follow a setup until the service is serving" and obtaining ids needed for retirement. It does not name alternative tools or state when not to use this tool, so it is strong but not fully explicit about 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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