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Agent.ai MCP Server

by OnStartups

get_variable_from_database

Retrieve a stored variable from the agent's database, choosing between the most recent value or historical records with configurable time range and count.

Instructions

The variable to retrieve from the agent's database.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
variableYesThe variable to retrieve.
variable_retrieval_depthYesHow far back to retrieve data.most_recent_value
agent_db_historical_valuesNoHistorical data interval.
agent_db_variable_retrieval_countNoNumber of items to retrieve (default: 10).
Behavior1/5

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

No annotations exist, and the description fails to disclose any behavioral traits such as idempotency, permissions, data scope, or side effects. For a data retrieval tool, this omission is critical.

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

Conciseness2/5

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

The description is extremely brief (5 words) but fails to convey purpose effectively. It is not structured and does not earn its place as a tool-level description.

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?

With 4 parameters, no output schema, and no explanation of behavior, the description is incomplete. It does not explain what the tool returns, how depths affect results, or relationship between parameters.

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 coverage is 100% with all parameters described, so the baseline is 3. The tool description does not add extra meaning beyond the schema, but at least the schema is complete.

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 'The variable to retrieve from the agent's database' is a noun phrase, not a clear action statement. It implies retrieval but lacks an explicit verb, making it vague. Sibling tool 'store_variable_to_database' provides context, but the description itself is insufficient.

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?

No guidance is provided on when to use this tool versus alternatives like 'store_variable_to_database' or other data retrieval tools. The description does not specify prerequisites, limitations, or appropriate contexts.

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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