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SeaWeb

delete_standing_query

DestructiveIdempotent

Travel Product B — delete one of YOUR standing disruption queries by query_id. Only queries registered by the calling account can be deleted. Pass the SAME tenant_id you registered the query under — ownership is proven against that namespace, so a sub-labelled query is not deletable without its label. Idempotent: an unknown, already-deleted, or not-yours id returns deleted=false rather than an error. Returns {query_id, deleted}. Needs an authenticated key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_idYes
tenant_idNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

The description goes well beyond the annotations. While idempotentHint=true and destructiveHint=true are already present, the description explains the exact idempotent behavior: unknown, already-deleted, or not-yours ids return deleted=false rather than an error. It also discloses the authenticated-key requirement and the ownership/tenant namespace nuance, which are not visible in the annotations or schema.

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 dense yet well-structured. Every sentence adds operational value: scope, ownership, idempotency, return shape, and authentication. The main purpose is front-loaded, and there is no filler or repetition beyond what is needed for clarity.

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

Completeness5/5

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

For a destructive, idempotent mutation tool with no output schema, the description provides all essential context: ownership rules, tenant namespace requirements, idempotent result behavior, expected return shape, and authentication needs. Nothing critical is missing for an agent to invoke this tool correctly.

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

Parameters4/5

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

Schema description coverage is 0%, so the description carries the full burden for parameter meaning. It explains that query_id identifies the standing query and gives substantial semantic detail for tenant_id, including the requirement to pass the same tenant_id used at registration and the sub-label ownership implication. It does not specify the exact format of query_id, but the operational meaning is clear.

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 ('delete'), a specific resource ('one of YOUR standing disruption queries'), and the identifying key ('by query_id'). It clearly distinguishes this from sibling tools like delete_disruption_webhook and list_standing_queries by focusing on deletion of a standing query owned by the caller.

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

Usage Guidelines4/5

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

The description clearly communicates when this tool is appropriate: delete only queries registered by the calling account, and pass the same tenant_id used during registration. It provides important exclusions ('only queries registered by the calling account can be deleted') but does not explicitly name sibling alternatives or state when not to use this tool in favor of another.

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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TDQS

A3.6/5.0
Disambiguation2/5

Several tool clusters have fuzzy boundaries: search vs. search_restaurants/search_salons/search_web, get_entity vs. get_restaurant/get_salon/get_details, and agent_job_status vs. research_status all require careful reading to pick correctly. The long descriptions help, but the overlap is real and an agent can easily misroute a call.

Naming Consistency4/5

Most tools follow a clean get_/list_/search_/register_/delete_ verb_noun pattern, making the bulk of the surface predictable. A few outliers like recall, remember, teamwork_preview, and travel_health break the pattern but are still readable and not chaotic.

Tool Count2/5

43 tools is far beyond a well-scoped server and bundles several distinct products — vertical search, web crawl, disruption monitoring, agent memory, and A/B evaluation — into one surface. Even if each subdomain is individually reasonable, the combined count makes the server feel like multiple toolsets mashed together.

Completeness3/5

Core workflows are mostly covered: search, extract, get details, register/list/delete standing queries and webhooks, and research jobs all have usable lifecycles. However, there is no update path for standing queries or webhooks, built datasets lack a clear retrieval tool, and research jobs have status but no obvious distinct cancel/list surface.

Resources