splunk_submit_event

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

With no annotations, the description carries the full burden, and it does disclose the write-mode requirement and the receiver endpoint used. It omits important mutation traits: that events become indexed/searchable and are not easily reversible, that the target index must already exist, and what failure modes (permission, unknown index) look like.

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?

The key scoping sentence (purpose + write-mode requirement) is front-loaded, and the Args block is compact with no filler. The Args list duplicates parameter titles already in the schema, which costs a little, but nothing is bloated.

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?

An output schema exists, so return values need not be explained, and the parameter list is covered. For a mutating ingestion tool with zero annotations, though, the definition should say more about side effects, indexing/irreversibility, and the write-mode permission implication than a single parenthetical.

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 0%, so the description has to compensate, and it does annotate all four parameters, notably clarifying that event_data accepts 'Raw log text or JSON payload' rather than only a string name. Gaps remain: the sourcetype default of 'mcp_synthetic_event' is never stated and 'Sourcetype marker' is close to tautological.

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 first sentence gives a specific verb (Submit), a specific resource (synthetic test log event), a destination (Splunk index), and the transport (receiver endpoint), which is far more than a restatement of the name. The word 'synthetic' usefully separates it from real ingestion siblings such as splunk_manage_input, though no sibling is named explicitly.

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?

The parenthetical '(requires write mode)' communicates a prerequisite, and 'synthetic test log event' implies the intended use case is testing rather than production data ingestion. However, it never says when to prefer this over e.g. splunk_sample_events or splunk_manage_input, nor warns against submitting production data.

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