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ere_verify

Run ERE 5-pass verification on content to get pass/fail per pod and METATRON certification.

Instructions

Run ERE 5-pass verification on a content string. Returns pass/fail per pod and METATRON certification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesContent to verify
filepathNoFilepath hint for language detection (e.g. "foo.ts")
Behavior2/5

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

With no annotations, the description carries full burden. It does not disclose behavioral traits like side effects, required permissions, rate limits, or whether it's a read-only operation. The phrase '5-pass verification' implies a process but no details about implications.

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 very concise: two sentences, front-loaded with the action and then the result. No superfluous words.

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?

No output schema, but the description lists return values. However, key context is missing: what is '5-pass verification', 'pods', and 'METATRON certification'? For a complex tool, this is insufficient for an agent to fully understand the tool's behavior.

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 both parameters are described in the schema. The description adds no additional meaning beyond the schema; it mentions the overall process but not parameter specifics. Baseline of 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 the verb ('Run ERE 5-pass verification'), the resource ('content string'), and the outcome ('Returns pass/fail per pod and METATRON certification'). It is specific and distinguishes from siblings like 'compute_route' or 'magma_seal'.

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 is given on when to use this tool versus alternatives (e.g., other siblings) or when not to use it. The description lacks any contextual usage notes.

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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