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List the addresses of the brand a link can point to

get_link_targets
Read-onlyIdempotent

The addresses of the brand that a watched page can link to. Two lists come back. derived: what is already covered without anyone typing it, each row with its source, "canon" (the canonical website of the brand) or "surface" (a page of the surface registry: the site, the LinkedIn or X profile, a directory listing, an app store page). free: the addresses set on the project on top of those. Read it before setting anything: an address already derived does not need to be added, and the derived list is what the customer gets for free from work already done. A link towards any of these is what the reading pass reports on, with its rel tokens, its anchor, its destination and its place on the page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesUUID of the project: call list_projects to find it.

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, and non-destructive. The description adds significant behavioral context beyond that: it explains the output structure (derived vs free), the meaning of 'canon' and 'surface' sources, and how these addresses relate to the reading pass report. No contradiction with annotations.

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

Conciseness4/5

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

The description is detailed but each sentence contributes value: it explains output types, definitions, usage guidance, and the relationship to reading passes. It could be slightly trimmed without losing meaning, but it is well-structured and front-loaded with the main output.

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 simple get tool with one parameter and no output schema, the description fully covers what the agent needs: what the two lists contain, how derived differs from free, and why this matters before setting targets. Nothing essential is missing.

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?

The only parameter project_id is fully described in the schema with a hint to call list_projects. The description does not add additional meaning about the parameter itself, so a baseline of 3 is appropriate given 100% schema coverage.

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 title and description clearly state the tool retrieves link target addresses for a brand. It explains the two output lists (derived and free), distinguishing this read operation from sibling set_link_targets, and the verb 'get' plus resource 'link_targets' is specific.

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

Usage Guidelines5/5

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

Explicitly directs the agent to read this before setting anything ('Read it before setting anything'), and explains that derived addresses do not need to be added. This provides clear when-to-use guidance and implies the workflow with set_link_targets.

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

A4/5.0
Disambiguation4/5

Each tool maps to a distinct resource and action, and the descriptions go out of their way to separate near-neighbor concepts like surfaces vs corroborations and score series vs raw responses. A few related pairs (get_results/get_responses, get_credits/get_usage, create_surface/create_corroboration) could still be confused at a glance, so it is not a perfect 5.

Naming Consistency5/5

Tool names follow a highly consistent verb_noun snake_case pattern across all 67 tools, with clear families like create_, update_, get_, list_, archive_, restore_, and delete_. Minor quirks such as topup_credits as one word do not break the overall uniformity.

Tool Count1/5

67 tools is an extreme count for a single MCP server, even for a broad brand-monitoring domain. The surface is bloated with lifecycle variants per entity, and the sheer number makes the server hard to navigate and prompt against.

Completeness5/5

The server covers full lifecycles for projects, trackers, surfaces, corroborations, quests, logbook entries, keyword discoveries, competitor scans, link targets, sources, support, and billing. Archive/restore and soft-delete paths prevent dead ends, and nearly every obvious workflow has a corresponding tool.

Resources