Skip to main content
Glama

visum_check_assignment

Verify PrT assignment completion by checking link volume data, returning total traffic volume and confirmation of successful execution.

Instructions

🔍 Verify if a PrT assignment has been executed successfully. Checks for volume data on links. Returns total volume, number of links with traffic, and confirms assignment completion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID of the active Visum project
analysisPeriodNoAnalysis period code (default: 'AP')AP
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the verification purpose and what gets returned (total volume, number of links with traffic, confirmation), which is helpful. However, it doesn't mention potential side effects, error conditions, performance characteristics, or authentication requirements. For a verification tool with zero annotation coverage, this provides basic but incomplete behavioral context.

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 perfectly concise with three sentences that each earn their place: purpose statement, what it checks, and what it returns. It's front-loaded with the core purpose and wastes no words. The emoji adds visual clarity without distracting from the content.

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?

Given no annotations and no output schema, the description provides adequate basic information about purpose and returns, but lacks details about the verification methodology, error handling, or what constitutes 'successful' execution. For a verification tool with 2 parameters and no structured output documentation, it covers the essentials but leaves gaps in behavioral context that would help an agent use it correctly.

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 fully documents both parameters. The description doesn't add any parameter-specific information beyond what's in the schema. It mentions 'assignment' which relates to the tool's purpose but doesn't explain how parameters connect to that purpose. With complete schema coverage, baseline 3 is appropriate when the description adds no additional parameter semantics.

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 clearly states the specific action ('Verify if a PrT assignment has been executed successfully'), the resource involved ('volume data on links'), and distinguishes it from siblings by focusing on assignment verification rather than execution or analysis. It uses precise terminology like 'PrT assignment' and 'volume data on links' that differentiate it from other tools in the list.

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 context ('after assignment execution') but doesn't explicitly state when to use this tool versus alternatives like 'project_execute' or 'visum_network_analysis'. It mentions what the tool checks but provides no guidance on prerequisites or when not to use it. The context is clear but lacks explicit alternatives or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/multiluca2020/visum-thinker-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server