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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_registry_member_delete

Remove a member from a registry in Cloudeka's cldkctl by specifying the registry ID and member ID to delete.

Instructions

Call the cldkctl_registry_member_delete endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
registry_idYesRegistry ID
member_idYesMember ID to delete
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. The description reveals nothing about the tool's behavior - it doesn't indicate this is a destructive deletion operation, doesn't mention authentication requirements, doesn't specify what happens to the deleted member, and provides no information about error conditions or rate limits. For a tool that clearly performs a deletion (implied by the name), this is dangerously inadequate.

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

Conciseness2/5

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

While the description is technically concise (one sentence), it's under-specified rather than efficiently informative. The single sentence 'Call the cldkctl_registry_member_delete endpoint' wastes its opportunity to convey meaningful information. This isn't true conciseness - it's inadequate specification masquerading as brevity.

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

Completeness1/5

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

Given that this is a deletion tool with no annotations, no output schema, and a completely inadequate description, the contextual completeness is severely lacking. The description fails to explain what the tool does, when to use it, what behavior to expect, or what the consequences are. For a potentially destructive operation in a complex system with many sibling tools, this description is dangerously incomplete.

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?

The schema description coverage is 100%, with both parameters ('registry_id' and 'member_id') clearly documented in the schema. The description adds zero additional information about parameter semantics beyond what's already in the schema. According to the scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter information in the description.

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

Purpose2/5

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

The description 'Call the cldkctl_registry_member_delete endpoint' is a tautology that merely restates the tool name in a slightly different phrasing. It doesn't specify what the tool actually does (deleting a member from a registry), nor does it distinguish this from sibling tools like 'cldkctl_registry_member_add' or 'cldkctl_org_member_delete'. The description fails to provide a clear verb+resource combination.

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

Usage Guidelines1/5

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

The description provides absolutely no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, when this operation is appropriate, or what the consequences might be. Given the sibling tools include multiple registry and member management operations, this lack of differentiation is particularly problematic.

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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