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

No annotations are provided, so the description carries the full disclosure burden. It does reveal useful behavior — the graph's size (933 edges) and the shape of what it composes (a DAG built from four named operator types) — which implies a read-only traversal. But it omits cost/latency expectations, whether traversal is a read operation, and anything about determinism or failure modes, leaving meaningful gaps.

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

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

A single sentence with no filler, and the core action plus output composition are front-loaded. It is efficient, though the density of undefined terms makes it harder to parse than a longer, clearer version would be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description is the only place an agent can learn what comes back, and it only partially delivers — naming the operator types but not the response structure, node/edge payload, or how depth changes the result. It is adequate at a minimum-viable level but thin for a 3-parameter, multi-hop traversal tool.

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

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

Schema description coverage is 100%, so the schema already documents depth (with its 1/2 enum semantics), query, and ability_id fully. The description adds nothing about parameter behavior beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('traverse') and resource ('933-edge cognitive synergy graph') and hints at the output ('multi-hop Cognitive DAG with Root, Prerequisite, Amplifier, and Fallback operators'). However, the jargon is never grounded — an agent cannot tell what a 'Cognitive DAG' actually is or does, and nothing distinguishes this from the sibling tools (ejentum_domains, ejentum_fts_search, ejentum_scaffold). Purpose is stated but opaque.

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

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

There is no when-to-use guidance, no prerequisites, and no mention of any alternative. Three sibling tools exist that plausibly compete for the same query, yet the description never says when graph traversal is the right choice versus fts_search or scaffold.

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