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HyperBDR

beacon-mcp

by HyperBDR

query_session_summary

Retrieve per-session rollup data to identify sessions with highest token usage, including models and timestamps. Find heavy sessions before drilling into session events.

Instructions

Per-session rollup: which sessions used the most tokens, their models, timestamps, etc. Use to find the heaviest sessions before drilling in with get_session_events.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgNoOrganization (tenant) ID. Omit to use the default org from $BEACON_ORG.
fromNoStart date inclusive (YYYY-MM-DD).
toNoEnd date inclusive (YYYY-MM-DD).
projectNoProject name to filter by (exact match). Use 'all' to disable.
modelNoModel name to filter by (substring match). Use 'all' to disable.
userNoUser name or id to filter by (substring match). Accepts source_user_name or source_user_id.
statusNoRestrict to error or success events only.
Behavior2/5

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

No annotations are provided, so the description must fully convey behavioral traits. It mentions a rollup but does not specify the exact aggregation method (e.g., totals, averages), sorting order, or pagination details. The vague 'etc.' further limits transparency.

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 two concise sentences, front-loaded with the key purpose, and contains no irrelevant information. Every word earns its place.

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 the complexity (7 parameters, no output schema), the description is thin. It does not explain what 'heaviest sessions' means exactly, nor does it mention sorting or rollup granularity. It is adequate but has clear gaps.

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%, so the description does not need to repeat parameter definitions. However, it adds no extra meaning beyond what the schema already provides. Baseline 3 is appropriate.

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 it is a per-session rollup focusing on token usage, models, and timestamps. It distinguishes from the sibling tool get_session_events by indicating it is used for initial exploration before drilling in.

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

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use the tool: 'Use to find the heaviest sessions before drilling in with get_session_events.' This provides clear context and an alternative, earning top marks.

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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