Open Trademarks
Server Details
Free trademark search across the US, EU and Israeli registers. A register search, not legal advice.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
check_trademark returns a verdict (exact_live_mark / similar_live_marks / no_live_match) while search_trademarks returns a ranked list of similar live marks. The purposes differ (decision vs exploration), but since check_trademark also surfaces the marks behind its verdict, an agent could occasionally pick the wrong one for a lookup-style task.
Both names follow a verb_noun pattern (check_trademark, search_trademarks). The only deviation is singular vs plural 'trademark(s)', which is minor and arguably reflects the difference between checking one name and searching many marks.
Two tools is thin for a server spanning three registers (US, EU, Israel). The core check/search operations are covered, but the surface is borderline minimal and leaves little room for register-specific or detail-level operations.
The 'not_checked' verdict implies register data must be read, yet there is no exposed tool to trigger or refresh a register read. There is also no way to fetch full details of a specific mark or filter by jurisdiction/class, leaving notable gaps for an agent to work around.
Available Tools
2 toolscheck_trademarkCheck a trademarkARead-onlyIdempotentInspect
Check whether a name is taken as a trademark in the US, EU and Israeli registers. Returns one of three verdicts (exact_live_mark, similar_live_marks, no_live_match), or not_checked when no register in the check has been read yet, with the marks behind it, how each matched, and when each register was read.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The business or product name to check. | |
| goods | No | What will be sold, in a few words; mapped to Nice classes. | |
| classes | No | Nice classes to check against, when known. | |
| registers | No | A subset of the registers; all three by default. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description goes further by enumerating the three verdict states plus not_checked, and by noting that results carry match explanations and a per-register read timestamp, which tells the agent results can be stale rather than freshly queried.
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?
Two sentences: purpose and scope first, then the return contract, with no filler. The second sentence is dense with enumerated states but every clause carries information an agent needs to interpret the result.
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?
There is no output schema, so the description must carry the return contract, and it does by naming all four verdict values and the accompanying mark/match/timestamp data. What remains unstated is whether unknown names land on no_live_match or not_checked and whether a lookup incurs latency, minor gaps for a four-parameter read-only tool.
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 100%, so all four parameters (name, goods, classes, registers) are already documented in the schema, setting the baseline at 3. The description adds a genuine nuance through 'not_checked when no register in the check has been read yet', clarifying what a partial registers subset produces, but adds nothing about how goods maps to Nice classes beyond what the schema says.
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 description gives a specific verb and resource ('Check whether a name is taken as a trademark') and names the exact jurisdictions covered (US, EU, Israeli registers). It does not distinguish itself from the sibling search_trademarks, so an agent gets a clear purpose but no explicit routing cue between the two.
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?
Usage is implied rather than stated: the tool answers 'is this name taken', which suggests pre-launch screening, but there is no explicit when-to-use or when-not-to-use guidance. The sibling search_trademarks is never mentioned, leaving the agent to infer which tool to reach for.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_trademarksSearch trademarksCRead-onlyIdempotentInspect
Ranked live marks that share a query's spelling or sound, across the US, EU and Israeli registers.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| registers | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the safety profile is covered. The description does add real behavioral content: results are ranked (similarity ordering), limited to 'live' marks (dead/abandoned registrations excluded), and matched phonetically as well as orthographically. It says nothing about result volume, ranking method, or query cost.
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?
A single front-loaded clause with no filler; every phrase (ranked, live, spelling or sound, three registers) carries information. It is a fragment rather than a sentence, and its extreme brevity is part of why other gaps exist, but nothing in it is redundant.
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?
With three parameters at 0% schema coverage and no output schema, the description should carry more weight than one line. It omits any sense of what a result looks like (mark text, register, owner, similarity score), how 'limit' behaves, and how registers are combined — all of which an agent must guess.
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 carries the full burden. It clarifies that 'query' is matched on spelling or sound rather than exactly, and it names the three registers, but 'limit' — including its 1–100 range and default — is entirely undocumented, and there is no guidance on multi-register queries.
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?
Identifies the resource (live trademark marks), the matching basis (shared spelling or sound) and the coverage scope (US, EU, Israeli registers), which is far more specific than the title. It never mentions the sibling check_trademark, so the distinction between exploratory search and a specific lookup must be inferred.
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?
There is no explicit when-to-use or when-not-to-use statement, and the only sibling, check_trademark, is never referenced. An agent can guess this is the discovery tool versus a targeted check, but nothing in the text confirms that routing decision.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
check_trademark - First observed
search_trademarks
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