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BEON PASS

vercel_get_build_events

Read build events after approval; logs may contain application data. Requires exact user approval in BEON PASS.

Input Schema

NameRequiredDescriptionDefault
limitNo
team_idNo
approval_idNo
beon_app_idNo
beon_contextNo
deployment_idYes
beon_resume_idNo
beon_release_idNo
beon_environmentNo
beon_connection_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, and the description adds real context beyond them: the mandatory BEON PASS approval gate and the warning that logs may contain application data. However, it does not describe result shape, pagination, or how 'limit' behaves, and 'Read' sits in mild tension with readOnlyHint=false (reconciled only by the approval requirement).

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?

Two compact sentences with the core action and the approval prerequisite front-loaded and no filler. The only weakness is that brevity here comes partly at the cost of parameter and result detail.

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?

For a 10-parameter tool with no output schema and 0% schema coverage, the description covers the safety/approval dimension but leaves the parameters and calling mechanics essentially unexplained. An agent would not know how to populate limit, team_id, or the beon_* context fields from this text.

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 description coverage is 0% across 10 parameters, so the description carries the full burden — yet it only obliquely gestures at 'approval' (approval_id) and says nothing about deployment_id, team_id, limit, or the beon_* parameters. Most parameters are undocumented in both places.

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 (read) and resource (build events) with the gating condition (after approval). It is clearly distinguishable from the many write/configure siblings, though it does not explicitly distinguish itself from the nearby vercel_get_runtime_logs / railway_get_build_logs siblings.

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

Usage Guidelines3/5

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

It gives a precondition — 'Requires exact user approval in BEON PASS' — which tells the agent this cannot be called freely, but it never says when to reach for this tool versus alternatives such as vercel_get_runtime_logs or vercel_get_deployment. Usage is implied rather than guided.

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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