The Wyze Blog
Server Details
The Wyze blog: guaranteed rent, temporary accommodation and lettings guides for UK letting agents.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- Repository
- The-Wyze/MCP
- GitHub Stars
- 0
- Server Listing
- The Wyze
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
The two tools have clearly distinct roles: listing summaries versus fetching one full post by slug. The list_blog_posts description explicitly points to get_blog_post for full content, eliminating any ambiguity.
Both names follow a consistent verb_noun snake_case pattern (list_blog_posts, get_blog_post) with parallel structure on the same resource. No deviations.
Two tools is on the thin side, though it matches the minimal read-only blog use case. A single listing plus a single fetch is functional but leaves little room for richer querying.
The core read lifecycle (browse list, retrieve full article) is fully covered, with search-term filtering as a bonus. Minor gaps like pagination, category/author filters, or comment retrieval are easily worked around by agents.
Available Tools
2 toolsget_blog_postGet blog postARead-onlyInspect
Returns one The Wyze blog post in full (plain text) by its slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The post slug, e.g. from list_blog_posts. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful context that the return is the complete post body in plain text rather than a summary or metadata record, but it says nothing about behavior for a missing/invalid slug or about response size.
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?
One front-loaded sentence with no filler; the resource, singular scope, return format, and lookup key all land immediately.
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 single-parameter read tool with no output schema, the definition covers what is returned and how it is keyed. The main gap is failure behavior for an unknown slug and whether the full text could be truncated.
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?
The single parameter has 100% schema description coverage, including an example source ('e.g. from list_blog_posts'), so the schema already carries the meaning. The description's 'by its slug' restates rather than extends that, and adds no format or validation detail.
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 one The Wyze blog post') with scope ('in full') and return format ('plain text'), keyed by slug. This implicitly distinguishes it from the listing sibling by emphasizing a single post, but it never names list_blog_posts as the alternative.
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 guidance. The phrase 'by its slug' implies the caller must already have a slug, but the description does not say to use list_blog_posts first to obtain one or when to prefer the list tool over this one.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_blog_postsList blog postsARead-onlyInspect
Lists The Wyze blog posts, newest first, with title, date, author, excerpt and URL. Optionally filter by a search term. Use get_blog_post with a slug for the full article.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Posts to return (default 10). | |
| cursor | No | nextCursor from a previous call, for the next page. | |
| search | No | Search term matched against post title and content. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful behavior beyond that: result ordering (newest first), the shape of each item (title, date, author, excerpt, URL), and that search is optional. It stops short of describing page-size defaults or how nextCursor signals the end, though the schema covers the cursor mechanics.
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 tight sentences, front-loaded with the core action and result shape, then the optional filter, then the sibling handoff. No wasted wording. The one small overlap is restating the fields of each item alongside the search behavior.
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's enumeration of returned fields (title, date, author, excerpt, URL) carries real weight and tells the agent what to expect without a follow-up call. Combined with the ordering note and sibling routing, nothing critical is missing for a simple list 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 three parameters (limit, cursor, search) are already documented in the schema. The description reinforces that search filtering is optional but adds no syntax, matching, or format detail beyond what the schema states; 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 ('Lists The Wyze blog posts') plus ordering ('newest first') and the fields returned ('title, date, author, excerpt and URL'). It clearly distinguishes itself from the sibling get_blog_post, which returns the full article.
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?
Explicitly names the alternative and the condition that selects it: 'Use get_blog_post with a slug for the full article.' It also frames the optional search filter as the narrowing mechanism, so an agent knows when this listing tool is the right entry point versus the detail tool.
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_blog_post - First observed
list_blog_posts
Related MCP Connectors
UK property intelligence with evidence behind the numbers.
UK area & property intelligence for AI agents: reports, EPC, comparables, with source provenance.
UK buy-to-let maths: true net yield, cashflow, Section 24, stamp duty and area rental yields.
Free tools for UK tenants: Awaab's Law and complaint deadlines, repair letters, housing help search
Related MCP Servers
- FlicenseNot gradedqualityCmaintenanceUK property listing description generator. Give an AI assistant a postcode or address — it fetches comparable sales, EPC ratings, and Rightmove listings, then writes three copy variants ready for Rightmove, social media, and email.1-
- AlicenseAqualityBmaintenanceEnables agents to check whether an English rental property is ready for the landlord database, using a postcode and certificate dates to determine the region's registration window and deadline, flag gas safety, EICR and EPC records that expire or are missing, and report the fee, upload requirements and next actions. One tool, check_property, works offline apart from a postcode lookup and returns pass/warn/fail results.4MIT
- AlicenseAqualityCmaintenanceUK property data API and MCP server: checked figures for England and Wales districts (prices, rents, yields, crime, schools, flood risk, EPC) for agents and developers. Keyed access.7MIT
- -licenseNot gradedqualityCmaintenanceProvides real-time London area intelligence including postcode data, crime, schools, transport, and investment metrics, enabling AI assistants to answer property-related queries.-
Glama MCP Gateway
Add one secure layer between your agents and this server.