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company_signals-subscription_logs

Read-onlyIdempotent

List company signal executions produced by a specific signal subscription, with filters and pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results per page
domainNoFilter signals by company domain
offsetNoNumber of results to skip for pagination
statusNoFilter by signal status (can be specified multiple times)
toDateNoFilter signals completed on or before this date (RFC3339 format)
fromDateNoFilter signals completed on or after this date (RFC3339 format)
companyIdNoFilter signals by company ID
subscriptionIdYesThe UUID of the signal subscription

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is clear. The description adds scoping to a specific subscription and mentions filters/pagination, but doesn't disclose additional traits like response structure or rate limits, so it adds only modest value beyond annotations.

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 a single concise sentence front-loaded with the verb and resource, containing no redundant or extraneous information. It efficiently communicates the tool's core action and scope.

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

Completeness4/5

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

Given a rich input schema with full parameter descriptions and strong annotations, the description sufficiently covers the tool's purpose and scope. However, there is no output schema and the description doesn't describe return value structure or pagination response details, leaving some ambiguity about what the agent will receive.

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 description coverage is 100%, with all 8 parameters documented in the input schema, including defaults, formats, and filter semantics. The description only generically mentions 'filters and pagination' without adding any parameter-specific meaning beyond what the schema already provides.

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 uses the specific verb 'List' and identifies the resource as 'company signal executions produced by a specific signal subscription', which clearly distinguishes it from sibling tools like company_signals-list that may list signals more broadly. It also mentions filters and pagination, reinforcing the tool's specific role.

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

Usage Guidelines3/5

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

The description implies usage by requiring a 'specific signal subscription' through the required subscriptionId, but it does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions or contrast with similar list tools in the sibling set.

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

C2.5/5.0
Disambiguation2/5

Many tools have overlapping purposes, such as signals-firmographics vs companies-enrich_firmographics, findEmail vs contacts-enrich_work_email, and monitors vs signal_subscriptions vs market_signals. While descriptions add some context, an agent could easily select the wrong tool due to the high similarity in function.

Naming Consistency2/5

Most tools use a resource_subresource-action pattern, but there are inconsistent separators: underscores within some names, hyphens in others (e.g., scoring-assignment-bulk-create), and several camelCase exceptions (findEmail, findEmailBatchGet, getContactResearchByExternalID). This mixed convention makes the tool set feel unpredictable.

Tool Count1/5

With 119 tools, this server vastly exceeds the typical well-scoped range. Even for a comprehensive B2B data platform, the sheer number creates cognitive overload and increases the risk of incorrect tool selection.

Completeness4/5

The server covers an extensive range of operations: enrichment, lists, contacts, signals, subscriptions, monitors, and scoring. Nearly every resource has create, read, update, and delete or lifecycle equivalents, leaving very few practical gaps for the intended use case.

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