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Dayze — Life Context

Bulk Dismiss Clarifications

bulk_dismiss_clarifications

Dismiss non-person / typed junk from the clarification queue. ($0.05; API key required)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNo
request_idNoClient idempotency key (retries return original result).
entity_typeNo
idempotency_keyNoAlias for request_id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
dismissedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already indicate this is not a read-only operation (readOnlyHint=faalse). The description adds cost ('$0.05') and authentication ('API key required'), which are useful semantics beyond the annotations. However, it does not explain side effects such as whether the action is reversible, how many items are affected, or the exact criteria for 'non-person / typed junk'.

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?

One sentence plus a parenthetical is extremely concise and front-loaded: the core action and scope are stated first, then cost and auth requirements. No words are wasted.

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?

The tool has no required parameters and four optional ones, but the description leaves the meaning of 'bulk' and the valid inputs (reason, entity_type) ambiguous. It also does not say how it differs from the per-item dismiss_clarification. The presence of an output schema helps with return values, but an agent still lacks enough context to construct a correct call confidently.

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 covers 50% of parameters: request_id and idempotency_key are described; reason and entity_type are bare strings. The tool description does not clarify what values reason or entity_type should accept, and the phrase 'typed junk' only loosely hints at entity_type's role. It does not compensate for the schema gaps.

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 states a specific verb ('Dismiss') and resource ('the clarification queue') with a clear scope: non-person / typed junk. The 'bulk' in the tool name and this qualifier distinguish it from the sibling 'dismiss_clarification', which presumably handles a single item.

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?

There is no guidance on when to use this tool versus alternatives like dismiss_clarification or resolve_clarification. The use case is implied ('dismiss non-person / typed junk') but no explicit conditions, prerequisites, or exclusions are given.

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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