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agenticledger

CC Explorer MCP Server

party_updates_list

Retrieve ledger updates for a specific party on the Canton Network blockchain. Use this tool to track transaction history, governance votes, and network activity by providing a party ID.

Instructions

List updates involving a specific party

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe party ID
limitNoMaximum number of results
offsetNoNumber of items to skip
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'List updates' but doesn't specify whether this is a read-only operation, if it requires authentication, what the return format is, or any rate limits. For a list tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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?

The description is a single, clear sentence with no wasted words. It's front-loaded with the core action and resource, making it efficient and easy to parse for an AI agent.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'updates' entail, the format of results, or how to handle pagination beyond the limit/offset parameters. For a tool with 3 parameters and no structured output info, more context is needed to guide effective usage.

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%, so the schema already documents all parameters (id, limit, offset) with descriptions. The description adds no additional meaning beyond implying filtering by party, which is covered by the 'id' parameter in the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the verb ('List') and resource ('updates involving a specific party'), making the purpose understandable. However, it doesn't distinguish this tool from sibling tools like 'updates_list' or 'contract_updates_list', which might have overlapping functionality, so it doesn't reach the highest score.

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 description provides no guidance on when to use this tool versus alternatives. With siblings like 'updates_list' and 'contract_updates_list', there's no indication of differences in scope, filtering, or context, leaving the agent to guess based on tool names 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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