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verify_runpod_target

Checks an existing RunPod Pod via API, pinned SSH identity, and live Blender availability using .env credentials without modifying resources, so you can confirm a remote target is usable.

Instructions

Verify an existing Pod through RunPod API, pinned SSH identity and actual Blender availability.

Uses Docker .env credentials. Does not create, start, stop or change resources. No local fallback is allowed for remote projects.

Input Schema

NameRequiredDescriptionDefault
pod_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.5.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description must carry the full load. It usefully discloses that credentials come from Docker .env, that the operation is non-mutating on RunPod resources, and that no local fallback applies to remote projects. It does not describe what a failed verification looks like, how errors surface, or whether the SSH check is time-limited, which matters for a long-running remote probe.

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?

Three short sentences, front-loaded with the verb and the checks performed, followed by scope negatives. No padding, though the fragmentary negative sentences read as bullets and could be tightened into a single scope clause.

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

Completeness3/5

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

For a verification tool with one parameter, no output schema and no annotations, the description covers what is checked and what is not mutated, but omits the result contract (pass/fail signal, diagnostic detail on failure) and the pod_id input, leaving an agent unable to predict the response.

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

Parameters2/5

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

Schema description coverage is 0% and the single parameter pod_id is documented nowhere. The description says 'an existing Pod' but never states that pod_id is a RunPod pod identifier, what format it takes, or where to find it, so it fails to compensate for the schema gap.

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 ('Verify') and resource ('an existing Pod') and enumerates the three checks performed: RunPod API reachability, pinned SSH identity, and actual Blender availability. It does not name or contrast itself with nearby siblings such as startup_verification or choose_execution_mode, so an agent must infer the boundary.

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?

'Verify an existing Pod' implies the caller already has a pod and wants a readiness check, and 'Does not create, start, stop or change resources' rules out lifecycle operations. But there is no explicit statement of when to call this instead of startup_verification or choose_execution_mode, and no stated prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.