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charley-forey

mcp-server-demo

propose_endpoint_bundles

Proposes three endpoint bundles (green, yellow, red) from an API spec, with endpoint counts and samples, for agent endpoint selection.

Instructions

Step 3 of 6. Propose three endpoint bundles (Green / Yellow / Red) based on the API and optional user context.

Requires step 2 (prompt_mcp_developer_context). Uses stored spec and inferred_segment from prior steps if not provided. Otherwise provide spec or openapi_input; optional agent_creator_role, agent_task_workflow, inferred_segment.

Returns: bundles (green, yellow, red) with endpoint_count and endpoints_sample; dependency_endpoints; total_operations. Completes workflow step 3. Next: run select_endpoint_bundle(choice) (step 4).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specNo
analysisNo
input_typeNo
openapi_inputNo
inferred_segmentNo
agent_creator_roleNo
agent_task_workflowNo
Behavior4/5

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

With no annotations, the description carries full burden. It describes what the tool returns (bundles, dependencies, operations) and states it 'Completes workflow step 3'. However, it does not mention whether it modifies any state or requires specific permissions, though it is likely a read-only proposal tool.

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?

Five sentences, each with clear purpose: action, prerequisite, parameter options, return value, next step. No redundancy, front-loaded with core purpose.

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?

The description covers workflow position, prerequisites, return structure, and next step. For a tool with 7 optional parameters and no output schema, it provides enough context. Lacks error handling or fallback behavior, but adequate for intended workflow.

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 0%, so description must compensate. It explains several parameters ('spec or openapi_input', 'agent_creator_role', etc.) and their roles, but omits 'analysis' and 'input_type' parameters from the schema. Partial but adequate for most use cases.

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 it is 'Step 3 of 6' and the verb 'Propose three endpoint bundles' with specific resource naming (Green/Yellow/Red). It distinguishes from siblings like 'select_endpoint_bundle' by noting it as the next step.

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 prerequisite ('Requires step 2'), provides alternative input methods ('spec or openapi_input'), lists optional context parameters, and specifies the next step ('run select_endpoint_bundle(choice)').

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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