Skip to main content
Glama

company_growth_period

Calculate retained conversion attribution against a company's stored protected costs for a growth period, without posting financial transactions.

Instructions

Fold retained conversion attribution against the selected company's persisted protected costs. Posts no money.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nowNo
project_idYes
bundle_jsonYes
register_refYes
portfolio_jsonYes
attribution_jsonYes
customer_cohort_jsonNo
acquisition_engines_jsonNo["growth_engine","pipeline_engine"]

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. Addedv0.1.1

TDQS

D1.7/5.0
Behavior2/5

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

The only behavioral hint is 'Posts no money,' which is a narrow negative statement. There is no mention of whether the tool reads, writes, modifies data, or has side effects, so the agent cannot assess safety or reversibility.

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 description is brief and avoids redundancy, but its brevity sacrifices clarity. The two sentences are structured acceptably, yet the use of unexplained terminology undermines conciseness as a positive attribute.

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

Completeness1/5

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

The tool has 8 parameters including multiple JSON strings, but the description fails to explain any of them or the expected output. It does not address the complexity of the inputs or provide enough context to execute the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

None of the 8 parameters are described in the schema or the tool description. With 0% schema coverage and no parameter explanations, the agent has no idea what inputs like 'bundle_json' or 'portfolio_json' represent or how they should be structured.

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

Purpose2/5

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

The description uses vague jargon like 'fold retained conversion attribution' and 'persisted protected costs' without defining them, making the tool's purpose unclear. It lacks a clear verb-resource pair and does not differentiate from sibling tools.

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

Usage Guidelines1/5

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. It does not mention any specific use cases, contexts, or exclusions, leaving the agent with no basis for selection.

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/RPasquale/lightbulb-mcp'

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