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project_deploy_cloudflare

Deploy only through a fixed declared deploy script when deployment is explicitly enabled and existing Wrangler auth is valid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packet_idYes

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description must carry the burden, and it does disclose a significant behavioral trait: deployment is gated by explicit enablement and valid Wrangler auth, and it goes through a fixed declared script. But it does not say what the script does, whether there are side effects, or what happens on failure, leaving important behavioral unknowns for a mutating tool.

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 one dense sentence with no filler and the action verb comes first. The phrase 'only through a fixed declared deploy script when deployment is explicitly enabled and existing Wrangler auth is valid' is compact but slightly tangled, so it isn't a perfect 5.

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?

This is a deploy (mutating) tool with no output schema and a single unexplained required parameter. The description provides gate conditions but omits packet_id semantics, return values, error modes, and what the fixed deploy script actually does, making it incomplete for an agent that needs to invoke it safely.

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

Parameters1/5

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

The only parameter, packet_id, is required but never described. Schema coverage is 0%, and the description adds zero insight about what packet_id represents or how an agent should obtain it. This is a critical gap because the parameter is mandatory.

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 names a clear action verb ('Deploy') and the resource is inferred from the tool name 'Cloudflare' plus 'Wrangler auth' in the text. It also adds important constraints ('only through a fixed declared deploy script'). However, it does not explicitly distinguish itself from similar sibling tools like deploy_code_asset or project_verify_deployment, so it falls just short of 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 Guidelines4/5

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

The description gives explicit preconditions for when deployment can actually happen: 'deployment is explicitly enabled and existing Wrangler auth is valid'. That is clear context for an agent deciding whether to call it, but it does not mention alternatives, exclusions, or when to prefer a different tool, so it is not a 5.

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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TDQS

B3.4/5.0
Disambiguation5/5

Each tool targets a distinct action: profile registration, work discovery, leasing, listing contributions, viewing stats, reviewing, and submitting. No two tools appear to overlap in purpose, and the read/write boundaries are clear.

Naming Consistency4/5

Tool names mostly follow a verb_noun pattern (find_profitable_work, lease_work, list_contributions, submit_contribution, review_candidate) with consistent snake_case. Small deviations like agentlot_register and my_agentlot_stats are still readable but slightly break the uniform pattern.

Tool Count5/5

Seven tools is well-scoped for an agent marketplace workflow. Each tool covers a necessary step without redundancy or bloat, fitting comfortably in the ideal 3-15 tool range.

Completeness4/5

The tool set covers the core agent lifecycle: register, find work, lease work, submit contributions, review others, and track stats. Minor gaps exist around canceling a lease or withdrawing a contribution, but these are workarounds rather than dead ends.

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