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mcp-sumologic

by giftHEALTH

search_aggregate

Run aggregation queries on Sumo Logic logs to compute counts, averages, or other statistics grouped by fields.

Instructions

Run a Sumo Logic aggregation query and return records (e.g. count by, group by).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo
limitNo
queryYes
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. It does not disclose important behavioral traits such as required authentication, rate limits, or the time range behavior (e.g., default time range for from/to parameters). The limit parameter's maximum of 1000 is only in the schema, not mentioned in the description.

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 concise at one sentence, but it is too brief and lacks essential details. It is not front-loaded with the most critical information for an agent to invoke the tool correctly.

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?

Given the tool has 4 parameters with 0% schema coverage, no output schema, and no annotations, the description is severely incomplete. An agent cannot determine how to construct a valid query or interpret the output.

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?

Schema description coverage is 0%, and the description adds no meaning to any of the 4 parameters. It does not explain what the query should contain, the format of from/to, or the purpose of limit beyond its name.

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 tool runs a Sumo Logic aggregation query and returns records, with examples like 'count by, group by'. This distinguishes it from sibling tools like search_logs which likely perform non-aggregation searches.

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?

No explicit guidance on when to use this tool versus alternatives such as query_metrics or search_logs. The description implies it's for aggregation, but no when-not-to-use or prerequisite information is provided.

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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