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trading_post_catalog

Prices, open rails and the HTTP 402 handshake for everything sold to agents. Pay the HTTP endpoints it names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

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 a key behavioral trait: the catalog identifies HTTP endpoints that require payment via an HTTP 402 handshake, and the agent is expected to pay them. It does not explain consequences of not paying, whether this is a read-only lookup, or what the actual response looks like, but the payment requirement is explicit enough to warn an agent that using this tool involves monetary/access implications.

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 very short and every phrase is loaded with meaning: prices, rails, 402 handshake, sold to agents, and the imperative to pay. It is front-loaded and has no filler. It loses a point because the compression sacrifices clarity—words like 'rails' and 'handshake' may require domain knowledge to parse.

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?

With no output schema, no annotations, and zero parameters, the description is the only context an agent gets. It is incomplete: it never defines what is being sold, what an 'open rail' is, how the 'HTTP 402 handshake' works, what 'pay' means in practice, or how this catalog relates to siblings like trading_post_ledger. A cryptic two-sentence summary is not enough for a tool that is essentially a gateway to purchases.

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 input schema is empty, so there are no parameters to explain. The description correctly avoids inventing parameter details and the caveat about high schema coverage does not apply since no parameters exist. A baseline of 4 is appropriate because nothing about parameter semantics is missing or misleading.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a resource: prices and endpoints for things sold to agents, and indicates the tool names HTTP endpoints that require payment. However, it relies on jargon ('open rails', 'HTTP 402 handshake') and never uses a direct verb like 'list' or 'retrieve', so an agent unfamiliar with the domain may not understand exactly what the tool returns. It is not a tautology, but it is less clear than a straightforward 'catalog of purchasable items and their endpoints.'

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?

The only guidance is 'Pay the HTTP endpoints it names,' which is an action to take after using the tool rather than a condition for when to call it. There is no mention of when to prefer this over sibling tools like trading_post_ledger or list_markets, nor any explanation of the context in which this catalog is relevant.

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
Disambiguation4/5

Most tools target clearly distinct resources or actions: reservoirs vs reservoir, superfund_summary vs superfund_site, and the various search tools are separated by domain. A few pairs could be confused at a glance—officer_lookup vs search_officers and meeting vs search_meetings—but their descriptions remove practical ambiguity.

Naming Consistency3/5

The naming is readable but mixes conventions: some tools use verb_search (search_meetings, search_officers), some use noun_noun (reservoir, superfund_site, trading_post_ledger), and others use a mix like officer_lookup and register_verify. There are consistent subgroups, but no overarching verb_noun pattern.

Tool Count4/5

At 19 tools, the server is on the heavier side, but the breadth of the platform—meetings, reservoirs, superfund sites, officers, legacy conversion, evidence packs, and trading post—justifies most of them. Each tool names a meaningful capability, and none feels redundant enough to cut outright.

Completeness4/5

The set covers the main read/query lifecycle for its data domains: listing, searching, fetching details, and summarizing. The largest gap is that paid conversions and evidence-pack results hand off to external HTTP endpoints or email rather than being fully queryable inside the MCP, but that appears intentional.

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