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fulfill_asset_requirements

Generates open asset requirement checklists, computes SHA-256 delivery receipts, marks items complete, and appends handoff notes to track and fulfill game project assets.

Instructions

Automatically generate open [ ] asset requirements in workspace/ASSET_REQUIREMENTS.md, compute SHA-256 delivery receipts, mark them [x], and append a handoff note to HANDOFFS.md.

Input Schema

NameRequiredDescriptionDefault
projectNodefault
req_idsNo
max_itemsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose meaningful side effects: it writes to ASSET_REQUIREMENTS.md, marks items [x], computes SHA-256 receipts, and appends to HANDOFFS.md. However, it omits key behavioral details such as whether existing entries are overwritten, idempotency, required permissions, and what happens on failure, leaving important mutation semantics unclear.

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?

The description is a single front-loaded sentence that packs the full workflow without filler. It is dense but efficient, and every clause corresponds to a concrete action or output artifact.

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

Completeness2/5

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

For a multi-file mutation tool with no annotations, no output schema, and three undocumented parameters, the description is too thin. It never states what the tool returns (e.g., receipts, counts, paths) or how the batch is limited, which an agent needs in order to call and interpret it correctly.

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% across three parameters, and the description does not explain project, req_ids, or max_items. An agent must guess that req_ids selects which open requirements to fulfill and that max_items caps the batch size, which is insufficient for correct invocation.

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?

The description uses specific verbs (generate, compute, mark, append) tied to concrete artifacts (ASSET_REQUIREMENTS.md, HANDOFFS.md), so an agent can tell this is a batch fulfillment workflow rather than a simple read or single-item add. It does not explicitly differentiate itself from siblings like add_asset_requirement, post_agent_handoff, or write_workspace_doc, which keeps it from a 5.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this tool versus alternatives such as add_asset_requirement or post_agent_handoff, nor any when-not-to-use conditions or prerequisites. The workflow is implied by the description but not framed as actionable selection guidance.

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