Citation Check
Server Details
Does a cited URL exist, and does the source name what your claim names? Two answers.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.5/5 across 2 of 2 tools scored.
The two tools have clearly distinct roles: check_citation performs the actual verification, while verdict_meanings explains the interpretation of results. There is no overlap or ambiguity in their purposes.
Both names use snake_case, which is consistent, but check_citation follows a verb_noun pattern while verdict_meanings is a noun phrase, creating a slight semantic inconsistency. However, with only two tools, the names are still predictable and descriptive.
With only two tools, the server feels minimal and is borderline according to the calibration. The narrow focus on citation checking justifies the small count, but it is still on the thin side for a tool set.
The core workflow of checking a citation is fully covered by check_citation, and verdict_meanings fills the need for understanding statuses and relevance values. There are no obvious gaps for the server's stated purpose, though it is intentionally minimal.
Available Tools
2 toolscheck_citationCheck whether a citation holds upARead-onlyInspect
Fetch a URL and report whether it exists, and whether the source names the same entity as the claim you attach to it. These are two different questions and conflating them is the failure this exists to catch: a URL can return 200 and describe a different gene entirely. No account needed, nothing is stored about you.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | The citation to check. http(s) only; private and loopback addresses are refused. | |
| claim | No | Optional. The text that cites it — the sentence or finding this URL is meant to support. Without it you only learn whether the URL exists, which is the weaker half. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and destructiveHint, but the description adds substantial behavioral context: 'No account needed, nothing is stored about you' covers privacy/auth, while 'a URL can return 200 and describe a different gene entirely' explicitly discloses a subtle failure mode. This goes well beyond the annotations and helps the agent anticipate the tool's behavior.
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?
Three concise, front-loaded sentences: the first states the core function, the second explains the dual-question warning, and the third covers privacy. Every sentence carries useful information without redundancy or fluff.
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?
For a simple two-parameter tool, the description covers purpose, the two checks, a key failure mode, and privacy. No output schema exists, but the description implies the output (existence + entity match), and the sibling tool 'verdict_meanings' likely handles return interpretations. Slight gap: it does not specify return format or error behavior, but this is minor given the tool's simplicity.
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%, but the tool description adds meaningful context by explaining that the 'claim' is the text the URL is meant to support and that without it, only the weaker existence check is possible. This reinforces the parameter's purpose beyond the schema's description.
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 clearly states the tool's action: 'Fetch a URL and report whether it exists, and whether the source names the same entity as the claim you attach to it.' It specifies the resource (URL) and the two distinct checks, which effectively distinguishes it from any sibling tool by explaining the core conflation failure it prevents.
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 context is implied: this tool is for checking citations. It explains why the claim parameter is needed and the failure mode of relying only on HTTP status, but it does not explicitly state when to use it versus alternatives like 'verdict_meanings' or any exclusions. Thus it provides clear context but lacks explicit guidance on alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
verdict_meaningsWhat the verdicts mean, and what they do notARead-onlyInspect
The exact semantics of every status and relevance value, including what this checker cannot determine. Read once before trusting a verdict.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds a limitation disclosure ('including what this checker cannot determine') beyond the annotations, which already indicate read-only and non-destructive behavior. This provides useful context and does not contradict the annotations.
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?
The description is two sentences long, front-loaded with the core promise, and includes both scope and usage advice. Every sentence earns its place with no redundancy.
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?
For a simple reference tool with no parameters or output schema, the description is complete: it states what the tool provides, its limitations, and when to use it. No additional context is needed.
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?
This tool has zero parameters, so the schema is trivially fully covered. The description adds meaning by clarifying the tool's informational purpose, which is the baseline expectation for a no-parameter tool.
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 clearly states the tool's function: it provides 'the exact semantics of every status and relevance value,' including its limitations. This distinguishes it from the sibling tool check_citation by focusing on meaning rather than the checking process itself.
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?
The description gives explicit usage guidance: 'Read once before trusting a verdict.' This indicates when to use the tool, though it does not mention alternatives or exclusion scenarios. The context is clear and sufficient for a reference tool.
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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