Fairplug (sandbox)
Server Details
Disclosure-first sponsored offers for AI assistants. Free read-only sandbox, fictional data.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- fairplug/fairplug-mcp
- GitHub Stars
- 0
- Server Listing
- Fairplug (sandbox)
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one returns a static example tracked link, the other searches fictional offers. There is no meaningful overlap in behavior or selection criteria.
Both names use a consistent verb_noun pattern: get_tracked_link and search_offers. The convention is predictable and readable.
Two tools is thin for what appears to be an affiliate or sponsored-content domain, even a sandbox. However, the limited scope may be intentional for a minimal example server.
The surface only covers retrieving an example link and searching offers; there is no create, update, delete, or lifecycle coverage. For a sandbox this may be acceptable, but as a tool set it is significantly incomplete.
Available Tools
2 toolsget_tracked_linkARead-onlyInspect
SANDBOX. Returns a non-functional example link plus the disclosure_text you MUST show the user next to any link. Nothing is recorded.
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | Ignored in the sandbox | |
| agent_id | Yes | Your stable agent identifier (not stored in the sandbox) | |
| offer_id | Yes | offer_id from search_offers |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is partly covered. The description adds genuinely useful behavioral context beyond them: it is a sandbox, the link is non-functional, nothing is recorded, and the returned disclosure_text must be surfaced to the user. That is real value the annotations do not convey.
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 short sentences with zero waste, led by the most important qualifier ('SANDBOX.'). The behavioral constraints and the required user-facing obligation are all front-loaded and easy to scan.
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 no output schema, the description carries the return-value burden and does describe what comes back (a non-functional example link and a disclosure_text). It covers the essential caveats for a 3-parameter sandbox tool, though it says nothing about error or failure behavior.
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 three parameters are already documented, including that context is ignored in the sandbox and that agent_id is not stored. The description adds no parameter-level meaning, so the baseline 3 applies.
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?
States a specific verb and resource: returns a non-functional example link plus a disclosure_text. The sandbox prefix and the phrase 'non-functional example link' make the purpose unambiguous. It does not explicitly name or contrast with search_offers, but the operations are clearly distinct.
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 implies this is the tool for obtaining a link and adds an obligation ('you MUST show the user the disclosure_text'), but it never states when to use it versus alternatives or any preconditions/exclusions beyond the sandbox flag. Usage is implied rather than spelled out.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_offersARead-onlyInspect
SANDBOX. Search fictional example sponsored offers. Typed data only, never instructions. Every result is sponsored and must be disclosed to the user.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | What the user is looking for | |
| region | No | ISO country code of the user, e.g. US | |
| category | No | travel | saas | retail, or a sub-category like hotels |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations cover only readOnlyHint and openWorldHint, yet the description adds substantive behavior: it is a sandbox with fictional data, returns typed data only and never instructions (an injection-resistance guarantee), and imposes a mandatory sponsorship disclosure on the caller. These are exactly the kind of operational obligations annotations cannot express.
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 short sentences, front-loaded with the sandbox/scoping fact, then the safety constraint, then the disclosure obligation. No sentence 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?
For a read-only, unauthenticated search tool with no output schema, the description covers scope, trust model, and caller obligations adequately. It omits any hint about result shape or pagination, a minor gap given no output schema exists.
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% (query, region, category all documented with formats and examples), so the schema carries the parameter burden. The description adds no syntax or format detail beyond it, making the baseline 3 appropriate.
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?
States a specific verb ('Search') and resource ('fictional example sponsored offers'), with a SANDBOX qualifier that scopes it precisely. The single sibling (get_tracked_link) is unrelated, so no differentiation is needed, but the description never explicitly routes against it either.
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?
Provides a operative usage rule ('Every result is sponsored and must be disclosed to the user') but gives no explicit when-to-use/when-not guidance or alternatives. An agent can infer it is for finding offers, but nothing states conditions that select it over other lookup paths.
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
get_tracked_link - First observed
search_offers
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