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Lucid Observability Agent

suggest_alert_rules

Generate Sentry alert rule configurations from a project's error patterns to automate notifications and speed up incident response.

Instructions

Generate Sentry alert rule configurations for a project based on error patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYesSentry project
includeMetricAlertsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

C2.7/5.0
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 doesn't clarify whether the tool only returns suggested rules or actually applies/writes configuration to Sentry, nor does it mention permissions, side effects, or rate behavior — a critical ambiguity for a tool whose name says 'suggest' but whose description says 'Generate'.

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

Conciseness4/5

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

One efficient sentence with no filler, front-loaded on the verb and resource. It is arguably too terse given the gaps, but there is no structural waste.

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 no annotations, no output schema, and one of two parameters undocumented, the description leaves the agent guessing about output shape, mutation semantics, and the metric-alert parameter. For a tool this under-specified structurally, the description should do more.

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

Parameters2/5

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

Schema coverage is only 50%: 'project' is documented in the schema, but 'includeMetricAlerts' (boolean, default true) is undocumented in both schema and description. The description adds no compensating detail about what error patterns are inspected or what toggling metric alerts changes.

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?

States a specific verb ('Generate'), a concrete resource ('Sentry alert rule configurations'), and the basis for generation ('based on error patterns') scoped to a project. It is distinguishable from siblings like diagnose_issue or generate_runbook, though it doesn't explicitly contrast itself with any of them.

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 guidance on when to use this versus alternatives such as diagnose_issue or generate_runbook, and no prerequisites (e.g., that a project must already have error data). The agent must infer the trigger condition entirely.

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