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delete_cluster_variable

Destructive

Delete a variable from the current cluster. A same-named organisation variable takes over on the next render; otherwise definitions that interpolate it will fail to render. The stored value is not recoverable.

Input Schema

NameRequiredDescriptionDefault
nameYesVariable name to delete.
cluster_idYesAnkra cluster id (UUID) the call targets. Discover ids with list_clusters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Annotations already flag destructive/non-idempotent, but the description adds material behavior beyond them: a same-named organisation variable silently takes over on next render, dependent definitions will fail to render, and the stored value is unrecoverable. This is exactly the kind of consequence disclosure a mutation tool needs.

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?

Three short sentences, zero filler, front-loaded with the action and then the two consequences. Each sentence carries distinct information.

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?

For a two-parameter destructive tool with no output schema, the description covers consequences and irreversibility well and annotations cover the safety profile. It does not address permission requirements or whether the deletion is immediate versus deferred, a minor gap.

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%, so both parameters (name, cluster_id) are fully documented in the schema, including how to discover cluster ids. The description adds no parameter-level detail beyond that, so the baseline 3 applies.

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?

States a specific verb (delete) and resource (variable) scoped to 'the current cluster', which distinguishes it from delete_organisation_variable and set_cluster_variable among siblings. An agent can identify the operation without opening the schema.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: the description explains what happens after deletion but never says when to delete a cluster variable versus an organisation variable, nor points to delete_organisation_variable as the alternative. The fallback note hints at the org-variable relationship but stops short of routing guidance.

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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