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verify_catch

Verify a GYOTAK catch record DIRECTLY from the Midnight blockchain. Reads on-chain state and returns the raw hex plus decoded fields for independent verification. Unlike get_catch_reports (which returns GYOTAK's own database), this lets you verify without trusting GYOTAK. GPS coordinates are cryptographically hidden (hiding commitment with secret nonce); only the region is provable. Supports both preprod and mainnet. batchId also accepts several IDs separated by commas: they are all checked against a single fetch of the contract state, and the response lists found/not-found per ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
batchIdNoFilter to a specific catch record by batchId (e.g. "SCR-TESTV3-INSIDE-02"). Omit to return all records in the contract.
networkNoMidnight network (default: preprod)
contractAddressYesMidnight contract address (64-char hex). Example: 2e519c349331a6aaee82a7ed31aa5e39d6a3995f6cf85ec2256c97cda9a8c302

Schema Changelog

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

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly. It discloses that the tool reads on-chain state (non-mutating), returns raw hex plus decoded fields, cryptographically hides GPS coordinates so only region is provable, and checks comma-separated batch IDs against a single contract fetch. These are meaningful behavioral traits not derivable from the schema.

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?

Every sentence adds distinct information: the core on-chain verification, the contrast with the alternative, the GPS privacy limitation, network support, and batchId batch semantics. It is dense but not padded, and the most important purpose is front-loaded in the first sentence.

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

Completeness5/5

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

For a verification tool with no output schema and no annotations, the description gives enough to call it correctly: what it reads, what it returns, the key cryptographic limitation, and multi-ID behavior. The schema covers parameter syntax, and the description fills the functional gaps without leaving critical unknowns.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds value beyond the schema by explaining that batchId can contain comma-separated IDs checked against a single contract fetch, and by reinforcing the return behavior per ID. This exceeds baseline but the schema already covers the basic meaning of all three parameters.

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 ('Verify a GYOTAK catch record DIRECTLY from the Midnight blockchain') and immediately distinguishes this from the sibling get_catch_reports. It clearly identifies what makes this tool unique: on-chain, trustless verification rather than reading GYOTAK's own database.

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

Usage Guidelines5/5

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

The description explicitly names the alternative (get_catch_reports) and states the decision criterion: use this tool when you need to verify without trusting GYOTAK. It also clarifies supported networks and batchId multi-ID behavior, so an agent knows when and how to invoke it appropriately.

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