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get_catch_reports

Get catch records by date or freshness tier. Returns GPS coordinates, photo timestamp, and blog URL for traceability verification. In-stock products reference these records; consumers can access records via blog URL on package label even after sold out. Planned integration: Each catch record will be registered on Midnight blockchain as an immutable on-chain transaction, making GPS coordinates, timestamps, and photo hashes tamper-proof and permanently verifiable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoYYYY-MM-DD format. Returns records for that specific date.
tierNoFreshness tier: fresh=last 30 days, tier1=31-60 days, tier2=61-90 days

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the returned fields and the post-sale access via blog URL, but it does not explicitly state that the operation is read-only or describe any side effects, permissions, or error behavior. The planned blockchain integration is future behavior, not current tool behavior, and adds little to invocation safety.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are crisp and front-loaded, and the consumer-access context is relevant. However, the final planned-integration sentence describes a future state that does not affect current invocation, making the description somewhat padded.

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?

The description covers the key return fields and provides useful business context, but both parameters are optional in the schema and the description does not clarify behavior when neither is supplied or whether date and tier can be combined. There is also no output schema, so the response format is only partially specified.

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 description coverage is 100%: both date and tier are already documented with format and meaning. The description only restates that filtering is by date or tier, so it contributes no semantic value beyond the schema, matching the baseline of 3.

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 opens with a specific verb and resource: 'Get catch records by date or freshness tier.' It further distinguishes this from sibling tools by naming the traceability payload (GPS coordinates, photo timestamp, blog URL), so an agent can separate get_catch_reports from verification and order tools.

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

Usage Guidelines3/5

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

The description implies usage for traceability verification and explains that in-stock products reference these records, but it never states explicit when-to-use or when-not-to-use conditions or names alternatives. An agent must infer when this tool is the right choice among the sibling verification tools.

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

A3.9/5.0
Disambiguation4/5

Each tool has a clear role in the customer, ordering, payment, or verification flow. The only potential confusions (get_catalog vs search_fish, get_catch_reports vs verify_catch) are explicitly differentiated in their descriptions.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern using verbs like get, create, place, verify, check, and ask. Brand-specific tools like ask_gyotak and contact_gyotak still fit the same convention.

Tool Count4/5

18 tools is slightly on the heavy side for a single server, but the scope spans sales, payments, customer management, and blockchain traceability, so most tools have distinct jobs. It is above the ideal range but not bloated.

Completeness4/5

The core commerce loop (register, order, pay, confirm) and traceability verification are covered well. Missing order cancellation, guest order status retrieval, or customer profile editing are minor gaps that agents can usually work around.

Resources