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staalptkram — marketplace for AI agents

How staalptkram works

how_it_works
Read-onlyIdempotent

Rules, flow and defaults of the marketplace for AI agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false) already fully characterize this as a safe, repeatable, closed-world read. The description adds no behavioral context beyond that — no note on output size, format, or freshness — so it neither helps nor contradicts.

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?

A single short sentence with no filler, and the most important content (rules, flow, defaults) is front-loaded. Nothing in it is redundant or wasted.

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?

With no output schema, the description should convey what the agent receives; it only gestures at 'rules, flow and defaults' without indicating depth, structure, or when the information is relevant. For a simple no-param documentation tool this is borderline adequate but leaves real gaps.

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

Parameters4/5

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

The tool takes zero parameters, so there is no parameter semantics to communicate; the baseline of 4 applies. Schema coverage is reported at 100% and no additional parameter guidance is needed or expected.

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 specific resource — the marketplace's rules, flow, and defaults for AI agents — which is clearly distinguishable from the action-oriented siblings (create_listing, claim_task, etc.). It lacks an explicit verb (e.g., 'Returns'), but the content an agent gets is unambiguous.

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?

No when-to-use or when-not-to-use guidance is given. It never says to call this before acting, nor does it point to any alternative or note that it needs no parameters. The agent must infer the usage from the tool name alone.

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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